Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects
This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDire...
Saved in:
| Published in | Journal of infection and public health Vol. 13; no. 10; pp. 1381 - 1396 |
|---|---|
| Main Authors | , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
01.10.2020
The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1876-0341 1876-035X 1876-035X |
| DOI | 10.1016/j.jiph.2020.06.028 |
Cover
| Abstract | This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDirect and Scopus were used to obtain relevant studies of the given topic. Several filtering and scanning stages were performed according to the inclusion/exclusion criteria to screen the 36 studies obtained; however, only 11 studies met the criteria. Taxonomy was performed, and the 11 studies were classified on the basis of two categories, namely, review and research studies. Then, a deep analysis and critical review were performed to highlight the challenges and critical gaps outlined in the academic literature of the given subject. Results showed that no relevant study evaluated and benchmarked AI techniques utilised in classification tasks (i.e. binary, multi-class, multi-labelled and hierarchical classifications) of COVID-19 medical images. In case evaluation and benchmarking will be conducted, three future challenges will be encountered, namely, multiple evaluation criteria within each classification task, trade-off amongst criteria and importance of these criteria. According to the discussed future challenges, the process of evaluation and benchmarking AI techniques used in the classification of COVID-19 medical images considered multi-complex attribute problems. Thus, adopting multi-criteria decision analysis (MCDA) is an essential and effective approach to tackle the problem complexity. Moreover, this study proposes a detailed methodology for the evaluation and benchmarking of AI techniques used in all classification tasks of COVID-19 medical images as future directions; such methodology is presented on the basis of three sequential phases. Firstly, the identification procedure for the construction of four decision matrices, namely, binary, multi-class, multi-labelled and hierarchical, is presented on the basis of the intersection of evaluation criteria of each classification task and AI classification techniques. Secondly, the development of the MCDA approach for benchmarking AI classification techniques is provided on the basis of the integrated analytic hierarchy process and VlseKriterijumska Optimizacija I Kompromisno Resenje methods. Lastly, objective and subjective validation procedures are described to validate the proposed benchmarking solutions. |
|---|---|
| AbstractList | This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDirect and Scopus were used to obtain relevant studies of the given topic. Several filtering and scanning stages were performed according to the inclusion/exclusion criteria to screen the 36 studies obtained; however, only 11 studies met the criteria. Taxonomy was performed, and the 11 studies were classified on the basis of two categories, namely, review and research studies. Then, a deep analysis and critical review were performed to highlight the challenges and critical gaps outlined in the academic literature of the given subject. Results showed that no relevant study evaluated and benchmarked AI techniques utilised in classification tasks (i.e. binary, multi-class, multi-labelled and hierarchical classifications) of COVID-19 medical images. In case evaluation and benchmarking will be conducted, three future challenges will be encountered, namely, multiple evaluation criteria within each classification task, trade-off amongst criteria and importance of these criteria. According to the discussed future challenges, the process of evaluation and benchmarking AI techniques used in the classification of COVID-19 medical images considered multi-complex attribute problems. Thus, adopting multi-criteria decision analysis (MCDA) is an essential and effective approach to tackle the problem complexity. Moreover, this study proposes a detailed methodology for the evaluation and benchmarking of AI techniques used in all classification tasks of COVID-19 medical images as future directions; such methodology is presented on the basis of three sequential phases. Firstly, the identification procedure for the construction of four decision matrices, namely, binary, multi-class, multi-labelled and hierarchical, is presented on the basis of the intersection of evaluation criteria of each classification task and AI classification techniques. Secondly, the development of the MCDA approach for benchmarking AI classification techniques is provided on the basis of the integrated analytic hierarchy process and VlseKriterijumska Optimizacija I Kompromisno Resenje methods. Lastly, objective and subjective validation procedures are described to validate the proposed benchmarking solutions. This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDirect and Scopus were used to obtain relevant studies of the given topic. Several filtering and scanning stages were performed according to the inclusion/exclusion criteria to screen the 36 studies obtained; however, only 11 studies met the criteria. Taxonomy was performed, and the 11 studies were classified on the basis of two categories, namely, review and research studies. Then, a deep analysis and critical review were performed to highlight the challenges and critical gaps outlined in the academic literature of the given subject. Results showed that no relevant study evaluated and benchmarked AI techniques utilised in classification tasks (i.e. binary, multi-class, multi-labelled and hierarchical classifications) of COVID-19 medical images. In case evaluation and benchmarking will be conducted, three future challenges will be encountered, namely, multiple evaluation criteria within each classification task, trade-off amongst criteria and importance of these criteria. According to the discussed future challenges, the process of evaluation and benchmarking AI techniques used in the classification of COVID-19 medical images considered multi-complex attribute problems. Thus, adopting multi-criteria decision analysis (MCDA) is an essential and effective approach to tackle the problem complexity. Moreover, this study proposes a detailed methodology for the evaluation and benchmarking of AI techniques used in all classification tasks of COVID-19 medical images as future directions; such methodology is presented on the basis of three sequential phases. Firstly, the identification procedure for the construction of four decision matrices, namely, binary, multi-class, multi-labelled and hierarchical, is presented on the basis of the intersection of evaluation criteria of each classification task and AI classification techniques. Secondly, the development of the MCDA approach for benchmarking AI classification techniques is provided on the basis of the integrated analytic hierarchy process and VlseKriterijumska Optimizacija I Kompromisno Resenje methods. Lastly, objective and subjective validation procedures are described to validate the proposed benchmarking solutions.This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDirect and Scopus were used to obtain relevant studies of the given topic. Several filtering and scanning stages were performed according to the inclusion/exclusion criteria to screen the 36 studies obtained; however, only 11 studies met the criteria. Taxonomy was performed, and the 11 studies were classified on the basis of two categories, namely, review and research studies. Then, a deep analysis and critical review were performed to highlight the challenges and critical gaps outlined in the academic literature of the given subject. Results showed that no relevant study evaluated and benchmarked AI techniques utilised in classification tasks (i.e. binary, multi-class, multi-labelled and hierarchical classifications) of COVID-19 medical images. In case evaluation and benchmarking will be conducted, three future challenges will be encountered, namely, multiple evaluation criteria within each classification task, trade-off amongst criteria and importance of these criteria. According to the discussed future challenges, the process of evaluation and benchmarking AI techniques used in the classification of COVID-19 medical images considered multi-complex attribute problems. Thus, adopting multi-criteria decision analysis (MCDA) is an essential and effective approach to tackle the problem complexity. Moreover, this study proposes a detailed methodology for the evaluation and benchmarking of AI techniques used in all classification tasks of COVID-19 medical images as future directions; such methodology is presented on the basis of three sequential phases. Firstly, the identification procedure for the construction of four decision matrices, namely, binary, multi-class, multi-labelled and hierarchical, is presented on the basis of the intersection of evaluation criteria of each classification task and AI classification techniques. Secondly, the development of the MCDA approach for benchmarking AI classification techniques is provided on the basis of the integrated analytic hierarchy process and VlseKriterijumska Optimizacija I Kompromisno Resenje methods. Lastly, objective and subjective validation procedures are described to validate the proposed benchmarking solutions. |
| Author | Lakulu, Muhammad Modi Alamoodi, A.H. Zaidan, A.A. Aleesa, A.M. Abdulkareem, Karrar Hameed Albahri, O.S. Zaidan, B.B. Alesa, R.M. Al-qaysi, Z.T. Lim, C.K. Rashid, Nazre Abdul Ibrahim, A.B. Albahri, A.S. Chyad, M.A. |
| Author_xml | – sequence: 1 givenname: O.S. surname: Albahri fullname: Albahri, O.S. organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 2 givenname: A.A. surname: Zaidan fullname: Zaidan, A.A. email: aws.alaa@gmail.com, aws.alaa@fskik.upsi.edu.my organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 3 givenname: A.S. surname: Albahri fullname: Albahri, A.S. organization: Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq – sequence: 4 givenname: B.B. surname: Zaidan fullname: Zaidan, B.B. organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 5 givenname: Karrar Hameed surname: Abdulkareem fullname: Abdulkareem, Karrar Hameed organization: College of Agriculture, Al-Muthanna University, Samawah 66001, Iraq – sequence: 6 givenname: Z.T. surname: Al-qaysi fullname: Al-qaysi, Z.T. organization: Department of Computer Science, Computer Science and Mathematics College, Tikrit University, Tikrit, Iraq – sequence: 7 givenname: A.H. orcidid: 0000-0003-4393-5570 surname: Alamoodi fullname: Alamoodi, A.H. organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 8 givenname: A.M. surname: Aleesa fullname: Aleesa, A.M. organization: Faculty of Electronic and Electrical Engineering, Universiti Tun Hussein Onn, 86400, Batu, Pahat, Johor, Malaysia – sequence: 9 givenname: M.A. surname: Chyad fullname: Chyad, M.A. organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 10 givenname: R.M. surname: Alesa fullname: Alesa, R.M. organization: Faculty of Electronic and Electrical Engineering, Universiti Tun Hussein Onn, 86400, Batu, Pahat, Johor, Malaysia – sequence: 11 givenname: C.K. surname: Lim fullname: Lim, C.K. organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 12 givenname: Muhammad Modi surname: Lakulu fullname: Lakulu, Muhammad Modi organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 13 givenname: A.B. surname: Ibrahim fullname: Ibrahim, A.B. organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia – sequence: 14 givenname: Nazre Abdul surname: Rashid fullname: Rashid, Nazre Abdul organization: Department of Computing, FSKIK, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32646771$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFkstuEzEUhkeoiF7gBVggL1k0wfbc7AohoXCLVKkLCmJnOZ4zGaceO9ieQF6Zp8CTpBXtoqxm9Pv837HP-U-zI-ssZNlLgqcEk-rNarrS625KMcVTXE0xZU-yE8LqaoLz8sfR3X9BjrPTEFYYV3lZ8GfZcU6roqprcpL9-boNEXoZtUIeNhp-Idci6aNutdLSIG0jGKOXYBWgCKqz-ucAIekodoAaSFrUziJpG6SMDGF0yp2USLOr7_MPE8JRD02SE6-Xy4MdfB_GGthIM8g7yCK16nrpb7RdXqBr-dtZ12_TkTTboMM5Up00BmzCnKN2iIMHFJwZRkDYEXqInWuccctdSxnW6Y7hefa0lSbAi8P3LPv26eP17Mvk8urzfPb-cqLKmsYJJVKVOSiyYNUCMG-VrCoMBTBWFosWtyVPekML3lasaRmGPG8YYQ1dNLImPD_L5ntu4-RKrH16sd8KJ7XYCc4vxThfZUBwymmNi7qBkhQFL1jBiSIlr7lSlDGaWO_2rPWwSBNUYKOX5h70_onVnVi6jahzyspyvMzrA8C7cW9R9DqotFFpwQ1B0ILmKRaE41T66t9ed01uw5IK2L5AeReCh1YoHXd7S621EQSLMZdiJcZcijGXAlci5TJZ6QPrLf1R09u9CdK2UjS9CEqPOWy0TwtN49SP2y8e2JXRdkzEDWz_Z_4LT1MWmA |
| CitedBy_id | crossref_primary_10_1155_2020_8830200 crossref_primary_10_1007_s42979_024_02638_2 crossref_primary_10_3389_fgene_2024_1492752 crossref_primary_10_1007_s41939_023_00292_4 crossref_primary_10_3390_jcm11072054 crossref_primary_10_1007_s12553_021_00520_2 crossref_primary_10_1016_j_susoc_2021_07_003 crossref_primary_10_1016_j_jare_2021_08_009 crossref_primary_10_1007_s11235_021_00773_2 crossref_primary_10_1371_journal_pone_0274538 crossref_primary_10_1007_s12553_021_00579_x crossref_primary_10_1002_jsc_2397 crossref_primary_10_1016_j_compbiomed_2023_107207 crossref_primary_10_1016_j_eclinm_2024_102772 crossref_primary_10_1007_s12652_021_03325_3 crossref_primary_10_3934_era_2023383 crossref_primary_10_1038_s42256_021_00307_0 crossref_primary_10_3390_computation9010003 crossref_primary_10_58496_ADSA_024_002 crossref_primary_10_1007_s00521_024_10143_z crossref_primary_10_1016_j_artmed_2022_102361 crossref_primary_10_3390_ijerph18094749 crossref_primary_10_29328_journal_jprr_1001044 crossref_primary_10_1016_j_chaos_2021_111445 crossref_primary_10_3389_fphar_2022_826044 crossref_primary_10_1142_S0219622021500061 crossref_primary_10_1109_TPAMI_2023_3240886 crossref_primary_10_7759_cureus_38373 crossref_primary_10_1007_s43681_021_00111_x crossref_primary_10_1186_s12879_022_07617_7 crossref_primary_10_36306_konjes_821782 crossref_primary_10_1016_j_eswa_2022_118935 crossref_primary_10_69725_raida_v1i3_168 crossref_primary_10_3390_pathogens10081048 crossref_primary_10_3390_s20236764 crossref_primary_10_1111_coin_12562 crossref_primary_10_3390_jimaging11010011 crossref_primary_10_1007_s40747_021_00503_w crossref_primary_10_3390_electronics11234053 crossref_primary_10_1002_hsr2_1919 crossref_primary_10_3390_electronics11233880 crossref_primary_10_3390_app14083419 crossref_primary_10_1007_s11517_020_02299_2 crossref_primary_10_1155_2022_4680905 crossref_primary_10_1016_j_patcog_2021_108110 crossref_primary_10_32604_cmes_2024_047907 crossref_primary_10_12688_f1000research_52535_2 crossref_primary_10_1371_journal_pone_0278487 crossref_primary_10_1002_hbe2_277 crossref_primary_10_48175_IJARSCT_5831 crossref_primary_10_1016_j_chemosphere_2022_135645 crossref_primary_10_1016_j_robot_2021_103902 crossref_primary_10_1109_TAI_2021_3062771 crossref_primary_10_1007_s40815_021_01246_z crossref_primary_10_1109_ACCESS_2023_3325404 crossref_primary_10_3390_jpm12091522 crossref_primary_10_1007_s10462_021_10052_w crossref_primary_10_1016_j_asoc_2022_109238 crossref_primary_10_12688_f1000research_110958_1 crossref_primary_10_1016_j_asoc_2021_107653 crossref_primary_10_1007_s11042_022_12952_7 crossref_primary_10_1002_cpe_6958 crossref_primary_10_1016_j_microc_2021_106305 crossref_primary_10_1049_ipr2_12365 crossref_primary_10_3390_bdcc7010011 crossref_primary_10_1093_jamia_ocab098 crossref_primary_10_1142_S021962202250050X crossref_primary_10_1142_S0219622021500127 crossref_primary_10_1007_s10462_021_10124_x crossref_primary_10_15302_J_QB_021_0274 crossref_primary_10_1016_j_csi_2021_103572 crossref_primary_10_3390_app122010535 crossref_primary_10_1016_j_bspc_2023_104642 crossref_primary_10_1002_hsr2_1244 crossref_primary_10_1186_s12911_021_01503_z crossref_primary_10_1177_20552076211002953 crossref_primary_10_20396_rbi_v22i00_8668109 crossref_primary_10_24171_j_phrp_2021_0100 crossref_primary_10_3390_s21165256 crossref_primary_10_2174_1573405617666210623124108 crossref_primary_10_1007_s12553_021_00609_8 crossref_primary_10_3390_su15139919 crossref_primary_10_1002_jcla_23804 crossref_primary_10_1007_s12652_021_02897_4 crossref_primary_10_1186_s13195_021_00821_8 crossref_primary_10_1142_S0219622021500139 crossref_primary_10_1109_JAS_2021_1004087 crossref_primary_10_1007_s12553_021_00560_8 crossref_primary_10_1155_2023_9389286 crossref_primary_10_1016_j_medcle_2022_04_020 crossref_primary_10_1109_JBHI_2021_3103839 crossref_primary_10_1109_JIOT_2021_3050775 crossref_primary_10_3390_math10152740 crossref_primary_10_1007_s11235_022_00959_2 crossref_primary_10_1109_JIOT_2021_3098158 crossref_primary_10_1016_j_asoc_2022_109891 crossref_primary_10_58496_ADSA_2024_008 crossref_primary_10_1016_j_medcli_2022_04_016 crossref_primary_10_1016_j_asoc_2021_108041 crossref_primary_10_1016_j_asoc_2023_110511 crossref_primary_10_1142_S0219622022500183 crossref_primary_10_58496_ADSA_2024_003 crossref_primary_10_1007_s42044_024_00190_z crossref_primary_10_1007_s10462_021_10106_z crossref_primary_10_1186_s12880_024_01207_6 crossref_primary_10_5753_compbr_2020_42_4448 crossref_primary_10_32604_csse_2023_034449 crossref_primary_10_1007_s10586_023_04009_7 crossref_primary_10_3389_fsoc_2023_1120288 crossref_primary_10_52880_sagakaderg_1070774 crossref_primary_10_1002_int_22489 crossref_primary_10_1007_s00521_022_07998_5 crossref_primary_10_1007_s00521_023_08933_y crossref_primary_10_1155_2023_1487245 crossref_primary_10_1186_s12911_024_02576_2 crossref_primary_10_1016_j_eswa_2021_115695 crossref_primary_10_1142_S0219622021500140 crossref_primary_10_1016_j_imavis_2024_105068 crossref_primary_10_1016_j_eswa_2023_121926 crossref_primary_10_1007_s10489_021_02813_5 crossref_primary_10_1016_j_artmed_2020_101983 crossref_primary_10_1016_j_cmpbup_2022_100090 crossref_primary_10_1142_S021962202050042X crossref_primary_10_3390_jpm11090893 crossref_primary_10_1007_s00371_022_02406_4 crossref_primary_10_1007_s00521_021_06683_3 crossref_primary_10_1016_j_seps_2022_101422 crossref_primary_10_1002_int_22699 crossref_primary_10_3390_biomedinformatics4020050 crossref_primary_10_1007_s44196_024_00543_3 crossref_primary_10_1016_j_patcog_2021_108035 crossref_primary_10_1007_s10489_020_02169_2 crossref_primary_10_1016_j_patter_2021_100269 crossref_primary_10_1016_j_asoc_2023_110531 crossref_primary_10_1109_TAI_2023_3300991 crossref_primary_10_1007_s00354_023_00232_3 crossref_primary_10_1016_j_cosrev_2020_100300 crossref_primary_10_3389_fmed_2021_730441 crossref_primary_10_1007_s11042_020_10284_y crossref_primary_10_1111_tgis_12792 crossref_primary_10_1177_21582440231182060 crossref_primary_10_1080_15368378_2022_2065679 crossref_primary_10_1007_s13246_021_01093_0 crossref_primary_10_1080_00207721_2023_2169059 crossref_primary_10_1136_bmjhci_2021_100385 crossref_primary_10_3389_frai_2021_652669 crossref_primary_10_1016_j_cmpb_2021_105993 crossref_primary_10_1016_j_compeleceng_2024_109409 crossref_primary_10_3390_s21072282 crossref_primary_10_1016_j_jiph_2021_03_003 crossref_primary_10_1016_j_ijmedinf_2022_104855 crossref_primary_10_1016_j_ijdrr_2022_103495 crossref_primary_10_1177_08953996241290893 crossref_primary_10_1007_s11517_022_02758_y crossref_primary_10_3390_coatings12020275 crossref_primary_10_3390_s23249619 crossref_primary_10_1002_jemt_23779 crossref_primary_10_1007_s40747_023_00972_1 crossref_primary_10_1097_MD_0000000000026855 crossref_primary_10_1016_j_irbm_2021_07_002 crossref_primary_10_1109_ACCESS_2021_3113812 crossref_primary_10_1016_j_jiph_2021_08_026 crossref_primary_10_1016_j_compmedimag_2021_101933 crossref_primary_10_1186_s12911_025_02869_0 crossref_primary_10_1007_s00521_023_08612_y |
| Cites_doi | 10.1155/2014/459375 10.1007/s10916-019-1158-z 10.1109/ACCESS.2018.2881282 10.1016/j.jacr.2020.02.008 10.1016/S0895-7177(03)90083-5 10.1016/j.engappai.2014.03.002 10.1002/jmv.25748 10.1109/ICEEI.2015.7352512 10.1007/s10916-018-1103-6 10.1007/s10916-018-1104-5 10.1007/s10916-018-0916-7 10.1016/S0377-2217(03)00020-1 10.1287/inte.9.4.94 10.1007/s10916-019-1336-z 10.1002/spe.2465 10.1142/S0219622019300039 10.1007/s10916-018-1064-9 10.1016/j.measurement.2017.12.019 10.1142/S0219622020500285 10.3390/f7050100 10.1016/j.dss.2015.07.002 10.1142/S0218001417590029 10.1016/j.media.2017.07.005 10.1016/j.csi.2018.12.002 10.3348/kjr.2020.0146 10.1049/iet-ifs.2014.0099 10.1109/ACCESS.2019.2910411 10.1016/j.measurement.2017.07.024 10.1007/s10916-018-1006-6 10.1007/s10916-018-0983-9 10.1109/ACCESS.2019.2936898 10.1007/s10916-020-01582-x 10.1109/ACCESS.2019.2941640 10.1038/s41551-018-0305-z 10.1007/s10916-019-1362-x 10.1016/j.measurement.2018.01.011 10.1142/S0218001413500122 10.1093/cid/ciaa688 10.1016/j.amjmed.2017.10.035 10.1109/ACCESS.2020.2990893 10.1007/s12553-018-0223-9 10.1016/S2589-7500(20)30079-0 10.1142/S0219622017500225 10.1109/ACCESS.2019.2898214 10.1142/S0219622020500169 10.1007/s10916-018-1149-5 10.21037/jtd.2020.02.64 10.1007/s10916-018-0943-4 10.1109/ACCESS.2020.2994746 10.1002/er.4016 10.1016/j.neucom.2013.10.003 10.1007/s10916-019-1339-9 10.1109/GLOCOM.2013.6831173 10.1007/s11042-019-07925-2 10.1142/S0218001414590010 10.1142/S021812661750116X 10.1186/s40064-016-1828-y 10.1016/j.jbi.2014.11.012 10.5858/arpa.2020-0901-SA 10.1142/S0219622020300049 10.1016/j.afjem.2020.03.002 10.1007/s10916-017-0883-4 10.1007/s10916-019-1338-x 10.1109/ACCESS.2020.2964788 10.1007/s11235-018-0430-8 10.1007/s10916-019-1264-y 10.1016/j.ipm.2009.03.002 10.1142/S0218126615500231 10.1016/j.acra.2020.03.003 10.1016/j.cmpb.2019.105151 10.1016/j.measurement.2017.09.027 10.1007/s11235-019-00575-7 10.1109/COMPSAC.2015.103 10.1007/s11235-017-0401-5 10.1007/s10462-018-9648-9 10.1016/S2589-7500(20)30054-6 |
| ContentType | Journal Article |
| Copyright | 2020 The Authors Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. 2020 The Authors 2020 |
| Copyright_xml | – notice: 2020 The Authors – notice: Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. – notice: 2020 The Authors 2020 |
| DBID | 6I. AAFTH AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM DOA |
| DOI | 10.1016/j.jiph.2020.06.028 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ - Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1876-035X |
| EndPage | 1396 |
| ExternalDocumentID | oai_doaj_org_article_92927047de5144948491c15979cc2882 PMC7328559 32646771 10_1016_j_jiph_2020_06_028 S187603412030558X |
| Genre | Systematic Review Journal Article |
| GroupedDBID | --- --K .1- .FO .~1 0R~ 1B1 1P~ 1~. 4.4 457 4G. 53G 5GY 5VS 7-5 71M 8P~ AAEDW AAIKJ AALRI AAQFI AAXUO AAYWO ABBQC ABJNI ABMAC ABWVN ACGFS ACRPL ACVFH ADBBV ADCNI ADEZE ADMUD ADNMO ADVLN AEKER AENEX AEUPX AEVXI AFJKZ AFPUW AFRHN AFTJW AGHFR AGYEJ AIGII AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ APXCP BCNDV BLXMC DU5 EBS EJD EP2 EP3 F5P FDB FEDTE FIRID FNPLU GBLVA GROUPED_DOAJ HVGLF HX~ HZ~ J1W M41 MO0 N9A O-L O9- OAUVE OD- OK1 OO. OZT P-8 P-9 P2P PC. Q38 ROL SDF SEL SES SSZ W2D Z5R 0SF 6I. AACTN AAFTH AFKWA AJOXV EFLBG LCYCR NCXOZ RIG AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM |
| ID | FETCH-LOGICAL-c572t-21ac53ec1b86be09fca660e4e8854bf0f596bed249f68df80e33d818d2bda7193 |
| IEDL.DBID | .~1 |
| ISSN | 1876-0341 1876-035X |
| IngestDate | Wed Aug 27 01:31:39 EDT 2025 Thu Aug 21 18:32:05 EDT 2025 Fri Jul 11 09:59:46 EDT 2025 Wed Feb 19 02:24:33 EST 2025 Tue Jul 01 01:50:29 EDT 2025 Thu Apr 24 23:06:16 EDT 2025 Fri Feb 23 02:46:50 EST 2024 Tue Aug 26 20:08:41 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 10 |
| Keywords | COVID-19 Decision-making Evaluation MCDA Medical image Benchmarking Artificial intelligence |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c572t-21ac53ec1b86be09fca660e4e8854bf0f596bed249f68df80e33d818d2bda7193 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
| ORCID | 0000-0003-4393-5570 |
| OpenAccessLink | https://www.sciencedirect.com/science/article/pii/S187603412030558X |
| PMID | 32646771 |
| PQID | 2423063190 |
| PQPubID | 23479 |
| PageCount | 16 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_92927047de5144948491c15979cc2882 pubmedcentral_primary_oai_pubmedcentral_nih_gov_7328559 proquest_miscellaneous_2423063190 pubmed_primary_32646771 crossref_citationtrail_10_1016_j_jiph_2020_06_028 crossref_primary_10_1016_j_jiph_2020_06_028 elsevier_sciencedirect_doi_10_1016_j_jiph_2020_06_028 elsevier_clinicalkey_doi_10_1016_j_jiph_2020_06_028 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-10-01 |
| PublicationDateYYYYMMDD | 2020-10-01 |
| PublicationDate_xml | – month: 10 year: 2020 text: 2020-10-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Journal of infection and public health |
| PublicationTitleAlternate | J Infect Public Health |
| PublicationYear | 2020 |
| Publisher | Elsevier Ltd The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences – name: Elsevier |
| References | Wallis (bib0160) 2020 Zeng (bib0025) 2020; 18 Mohsin (bib0130) 2018; 42 Saaty, Ozdemir (bib0445) 2003; 38 Rahmatullah, Zaidan, Mohamed, Sali (bib0410) 2017 Yu, Beam, Kohane (bib0065) 2018; 2 Schwartz (bib0030) 2020; 144 Enaizan (bib0355) 2018 Fang (bib0020) 2020; 200432 Aruldoss, Lakshmi, Venkatesan (bib0360) 2013; 1 Miller, Brown (bib0060) 2018; 131 Malczewski (bib0265) 1999 Toğaçar, Ergen, Cömert (bib0175) 2020; 103805 Albahri (bib0270) 2019; 7 Mohsin (bib0140) 2019; 43 Mohammed (bib0420) 2020; 8 Zaidan (bib0470) 2013 Zughoul (bib0125) 2018; 6 Yang (bib0075) 2020; 12 Whaiduzzaman, Gani, Anuar, Shiraz, Haque, Haque (bib0305) 2014; 2014 Talal (bib0275) 2019; 72 Alsalem (bib0085) 2019; 43 Shastry, Kantarcioglu, Zhou, Thuraisingham (bib0215) 2012 Yas, Zaidan, Zaidan, Rahmatullah, Karim (bib0100) 2018; 114 Shuwandy, Zaidan, Zaidan, Albahri (bib0150) 2019; 43 Opricovic, Tzeng (bib0435) 2004; 156 Zaidan (bib0090) 2019 Albahri, Zaidan, Zaidan, Hashim, Albahri, Alsalem (bib0335) 2018; 42 Zaidan, Zaidan, Hussain, Haiqi, Kiah, Abdulnabi (bib0395) 2015; 78 Zaidan, Karim, Ahmad, Zaidan, Kiah (bib0485) 2015; 24 Albahri (bib0260) 2019; 7 Jumaah, Zaidan, Zaidan, Bahbibi, Qahtan, Sali (bib0405) 2018; 68 AlSattar (bib0365) 2018 Maghdid, Asaad, Ghafoor, Sadiq, Khan (bib0050) 2020 Mohammed (bib0325) 2020; 185 Qader, Zaidan, Zaidan, Ali, Kamaluddin, Radzi (bib0505) 2017; 111 Mohsin (bib0120) 2018; 42 Zaidan, Zaidan (bib0380) 2017; 26 Albahri (bib0115) 2018; 42 Litjens (bib0475) 2017; 42 Albahri (bib0070) 2020; 44 Li (bib0155) 2020; 21 Kalid, Zaidan, Zaidan, Salman, Hashim, Muzammil (bib0330) 2018; 42 Ilangkumaran, Sasirekha, Anojkumar, Boopathi Raja (bib0230) 2012; 2 Khatari, Zaidan, Zaidan, Albahri, Alsalem (bib0285) 2019; 18 Mohsin (bib0110) 2019; 64 Yerima, Sezer, Muttik (bib0205) 2015; 9 Zaidan, Zaidan (bib0415) 2018; 117 Abdulkareem (bib0495) 2020; 19 Zaidan, Zaidan (bib0490) 2020; 53 Lim, Tan, Zaidan, Zaidan (bib0320) 2020; 79 Kalid (bib0345) 2018; 42 Ai (bib0015) 2020; 200642 Nilsson, Nordström, Öhman (bib0440) 2016; 7 Faiez (bib0515) 2020; 19 ping Tian (bib0480) 2013; 8 Abdullateef, Elias, Mohamed, Zaidan, Zaidan (bib0425) 2016; 5 Oh, Park, Ye (bib0170) 2020 Mohsin (bib0145) 2020; 8 Abdulkareem (bib0500) 2020 Mohammed (bib0255) 2019; 43 Jadhav, Sonar (bib0250) 2009 Oliveira, Fontes, Pereira (bib0245) 2013 Zaidan, Abdul Karim, Ahmad, Zaidan, Sali (bib0455) 2014; 28 Zaidan, Zaidan, Karim, Ahmad (bib0375) 2017; 47 Zaidan, Ahmad, Karim, Larbani, Zaidan, Sali (bib0460) 2014; 131 Sokolova, Lapalme (bib0190) 2009; 45 Li (bib0040) 2020; 27 Zionts (bib0280) 1979; 9 Almahdi, Zaidan, Zaidan, Alsalem, Albahri, Albahri (bib0290) 2019; 43 Zaidan (bib0095) 2018; 8 Zaidan, Karim, Ahmad, Zaidan, Sali (bib0450) 2013; 27 Lindorfer, Neugschwandtner, Platzer (bib0210) 2015 Ozturk (bib0035) 2020; 103792 Napi (bib0300) 2019 Albahri, Zaidan, Albahri, Zaidan, Alsalem (bib0350) 2018; 42 Mohammed (bib0520) 2020; 19 Yas, Zadain, Zaidan, Lakulu, Rahmatullah (bib0370) 2017; 31 Wang, Wang, Chen, Qin (bib0010) 2020; 92 Keeney, Raiffa (bib0240) 1993 Salman, Zaidan, Zaidan, Naserkalid, Hashim (bib0400) 2017; 16 Zaidan, Zaidan, Al-Haiqi, Kiah, Hussain, Abdulnabi (bib0390) 2015; 53 Talal (bib0105) 2019; 43 Ibrahim (bib0310) 2019; 7 McCall (bib0185) 2020; 2 Jumaah, Zadain, Zaidan, Hamzah, Bahbibi (bib0340) 2018; 118 Aktan, Samut (bib0235) 2013; 6 Alaa (bib0315) 2019; 7 Laghi (bib0180) 2020; 2 Abdel-Basset, Mohamed, Elhoseny, Chakrabortty, Ryan (bib0200) 2020; 8 Zaidan, Zaidan, Abdul Karim, Ahmad, Making (bib0385) 2017 Shi (bib0045) 2020 Zaidan (bib0135) 2018; 69 Wei, Hanlin, Linqiang, Hardy (bib0225) 2013 Kooraki, Hosseiny, Myers, Gholamrezanezhad (bib0005) 2020; 17 Pereira, Bertolini, Teixeira, Silla, Costa (bib0195) 2020; 105532 Kurniawan, Rosmansyah, Dabarsyah (bib0220) 2015 Almahdi, Zaidan, Zaidan, Alsalem, Albahri, Albahri (bib0295) 2019; 43 Albahri (bib0510) 2020; 19 Ucar, Korkmaz (bib0165) 2020; 109761 Alsalem (bib0080) 2018; 42 Zaidan, Ahmad, Karim, Larbani, Zaidan, Sali (bib0465) 2014; 32 W. H. Organization, Coronavirus disease 2019 (COVID-19): situation report, 72, 2020. Kaya, Çolak, Terzi (bib0430) 2018; 42 Wang (10.1016/j.jiph.2020.06.028_bib0010) 2020; 92 Almahdi (10.1016/j.jiph.2020.06.028_bib0290) 2019; 43 Alsalem (10.1016/j.jiph.2020.06.028_bib0085) 2019; 43 AlSattar (10.1016/j.jiph.2020.06.028_bib0365) 2018 Lim (10.1016/j.jiph.2020.06.028_bib0320) 2020; 79 Albahri (10.1016/j.jiph.2020.06.028_bib0260) 2019; 7 Miller (10.1016/j.jiph.2020.06.028_bib0060) 2018; 131 Ilangkumaran (10.1016/j.jiph.2020.06.028_bib0230) 2012; 2 Oliveira (10.1016/j.jiph.2020.06.028_bib0245) 2013 Albahri (10.1016/j.jiph.2020.06.028_bib0510) 2020; 19 Li (10.1016/j.jiph.2020.06.028_bib0040) 2020; 27 Nilsson (10.1016/j.jiph.2020.06.028_bib0440) 2016; 7 Kurniawan (10.1016/j.jiph.2020.06.028_bib0220) 2015 Jumaah (10.1016/j.jiph.2020.06.028_bib0340) 2018; 118 Keeney (10.1016/j.jiph.2020.06.028_bib0240) 1993 Li (10.1016/j.jiph.2020.06.028_bib0155) 2020; 21 Yas (10.1016/j.jiph.2020.06.028_bib0370) 2017; 31 Zaidan (10.1016/j.jiph.2020.06.028_bib0485) 2015; 24 Salman (10.1016/j.jiph.2020.06.028_bib0400) 2017; 16 Alsalem (10.1016/j.jiph.2020.06.028_bib0080) 2018; 42 Fang (10.1016/j.jiph.2020.06.028_bib0020) 2020; 200432 Abdulkareem (10.1016/j.jiph.2020.06.028_bib0495) 2020; 19 Zaidan (10.1016/j.jiph.2020.06.028_bib0450) 2013; 27 Albahri (10.1016/j.jiph.2020.06.028_bib0115) 2018; 42 Litjens (10.1016/j.jiph.2020.06.028_bib0475) 2017; 42 Zeng (10.1016/j.jiph.2020.06.028_bib0025) 2020; 18 Mohsin (10.1016/j.jiph.2020.06.028_bib0110) 2019; 64 Zionts (10.1016/j.jiph.2020.06.028_bib0280) 1979; 9 Malczewski (10.1016/j.jiph.2020.06.028_bib0265) 1999 Mohammed (10.1016/j.jiph.2020.06.028_bib0420) 2020; 8 10.1016/j.jiph.2020.06.028_bib0055 Ai (10.1016/j.jiph.2020.06.028_bib0015) 2020; 200642 Almahdi (10.1016/j.jiph.2020.06.028_bib0295) 2019; 43 Zaidan (10.1016/j.jiph.2020.06.028_bib0135) 2018; 69 Zaidan (10.1016/j.jiph.2020.06.028_bib0380) 2017; 26 ping Tian (10.1016/j.jiph.2020.06.028_bib0480) 2013; 8 Alaa (10.1016/j.jiph.2020.06.028_bib0315) 2019; 7 Zaidan (10.1016/j.jiph.2020.06.028_bib0460) 2014; 131 Wei (10.1016/j.jiph.2020.06.028_bib0225) 2013 Kalid (10.1016/j.jiph.2020.06.028_bib0345) 2018; 42 Mohammed (10.1016/j.jiph.2020.06.028_bib0520) 2020; 19 Aktan (10.1016/j.jiph.2020.06.028_bib0235) 2013; 6 Albahri (10.1016/j.jiph.2020.06.028_bib0350) 2018; 42 Zaidan (10.1016/j.jiph.2020.06.028_bib0470) 2013 Albahri (10.1016/j.jiph.2020.06.028_bib0070) 2020; 44 Yas (10.1016/j.jiph.2020.06.028_bib0100) 2018; 114 Shastry (10.1016/j.jiph.2020.06.028_bib0215) 2012 Khatari (10.1016/j.jiph.2020.06.028_bib0285) 2019; 18 Oh (10.1016/j.jiph.2020.06.028_bib0170) 2020 Zaidan (10.1016/j.jiph.2020.06.028_bib0490) 2020; 53 Jadhav (10.1016/j.jiph.2020.06.028_bib0250) 2009 Ucar (10.1016/j.jiph.2020.06.028_bib0165) 2020; 109761 Ibrahim (10.1016/j.jiph.2020.06.028_bib0310) 2019; 7 Talal (10.1016/j.jiph.2020.06.028_bib0275) 2019; 72 Mohsin (10.1016/j.jiph.2020.06.028_bib0140) 2019; 43 Zaidan (10.1016/j.jiph.2020.06.028_bib0465) 2014; 32 Zaidan (10.1016/j.jiph.2020.06.028_bib0395) 2015; 78 Laghi (10.1016/j.jiph.2020.06.028_bib0180) 2020; 2 Whaiduzzaman (10.1016/j.jiph.2020.06.028_bib0305) 2014; 2014 Yu (10.1016/j.jiph.2020.06.028_bib0065) 2018; 2 Talal (10.1016/j.jiph.2020.06.028_bib0105) 2019; 43 Zaidan (10.1016/j.jiph.2020.06.028_bib0385) 2017 Saaty (10.1016/j.jiph.2020.06.028_bib0445) 2003; 38 Opricovic (10.1016/j.jiph.2020.06.028_bib0435) 2004; 156 Abdel-Basset (10.1016/j.jiph.2020.06.028_bib0200) 2020; 8 Mohammed (10.1016/j.jiph.2020.06.028_bib0325) 2020; 185 McCall (10.1016/j.jiph.2020.06.028_bib0185) 2020; 2 Zaidan (10.1016/j.jiph.2020.06.028_bib0095) 2018; 8 Zughoul (10.1016/j.jiph.2020.06.028_bib0125) 2018; 6 Albahri (10.1016/j.jiph.2020.06.028_bib0335) 2018; 42 Rahmatullah (10.1016/j.jiph.2020.06.028_bib0410) 2017 Kooraki (10.1016/j.jiph.2020.06.028_bib0005) 2020; 17 Yerima (10.1016/j.jiph.2020.06.028_bib0205) 2015; 9 Zaidan (10.1016/j.jiph.2020.06.028_bib0455) 2014; 28 Toğaçar (10.1016/j.jiph.2020.06.028_bib0175) 2020; 103805 Lindorfer (10.1016/j.jiph.2020.06.028_bib0210) 2015 Shuwandy (10.1016/j.jiph.2020.06.028_bib0150) 2019; 43 Wallis (10.1016/j.jiph.2020.06.028_bib0160) 2020 Enaizan (10.1016/j.jiph.2020.06.028_bib0355) 2018 Zaidan (10.1016/j.jiph.2020.06.028_bib0375) 2017; 47 Mohammed (10.1016/j.jiph.2020.06.028_bib0255) 2019; 43 Pereira (10.1016/j.jiph.2020.06.028_bib0195) 2020; 105532 Aruldoss (10.1016/j.jiph.2020.06.028_bib0360) 2013; 1 Abdullateef (10.1016/j.jiph.2020.06.028_bib0425) 2016; 5 Sokolova (10.1016/j.jiph.2020.06.028_bib0190) 2009; 45 Abdulkareem (10.1016/j.jiph.2020.06.028_bib0500) 2020 Napi (10.1016/j.jiph.2020.06.028_bib0300) 2019 Shi (10.1016/j.jiph.2020.06.028_bib0045) 2020 Maghdid (10.1016/j.jiph.2020.06.028_bib0050) 2020 Kalid (10.1016/j.jiph.2020.06.028_bib0330) 2018; 42 Qader (10.1016/j.jiph.2020.06.028_bib0505) 2017; 111 Faiez (10.1016/j.jiph.2020.06.028_bib0515) 2020; 19 Mohsin (10.1016/j.jiph.2020.06.028_bib0130) 2018; 42 Schwartz (10.1016/j.jiph.2020.06.028_bib0030) 2020; 144 Mohsin (10.1016/j.jiph.2020.06.028_bib0145) 2020; 8 Zaidan (10.1016/j.jiph.2020.06.028_bib0390) 2015; 53 Albahri (10.1016/j.jiph.2020.06.028_bib0270) 2019; 7 Zaidan (10.1016/j.jiph.2020.06.028_bib0415) 2018; 117 Jumaah (10.1016/j.jiph.2020.06.028_bib0405) 2018; 68 Zaidan (10.1016/j.jiph.2020.06.028_bib0090) 2019 Yang (10.1016/j.jiph.2020.06.028_bib0075) 2020; 12 Ozturk (10.1016/j.jiph.2020.06.028_bib0035) 2020; 103792 Mohsin (10.1016/j.jiph.2020.06.028_bib0120) 2018; 42 Kaya (10.1016/j.jiph.2020.06.028_bib0430) 2018; 42 |
| References_xml | – volume: 19 start-page: 1 year: 2020 end-page: 49 ident: bib0495 article-title: A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques publication-title: Int J Inf Technol Decis Mak – year: 2020 ident: bib0160 article-title: COVID-19 severity scoring tool for low resourced settings publication-title: Afr J Emerg Med – volume: 78 start-page: 15 year: 2015 end-page: 27 ident: bib0395 article-title: Multi-criteria analysis for OS-EMR software selection problem: a comparative study publication-title: Decis Support Syst – volume: 103805 year: 2020 ident: bib0175 article-title: COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches publication-title: Comput Biol Med – volume: 31 year: 2017 ident: bib0370 article-title: Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making techniques publication-title: Intern J Pattern Recognit Artif Intell – volume: 131 start-page: 397 year: 2014 end-page: 418 ident: bib0460 article-title: On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system publication-title: Neurocomputing – volume: 26 year: 2017 ident: bib0380 article-title: Systems, and Computers, Software and hardware FPGA-based digital watermarking and steganography approaches: toward new methodology for evaluation and benchmarking using multi-criteria decision-making techniques publication-title: J Circuits Syst Comput – volume: 9 start-page: 313 year: 2015 end-page: 320 ident: bib0205 article-title: High accuracy android malware detection using ensemble learning publication-title: IET Inf Secur – volume: 42 start-page: 137 year: 2018 ident: bib0350 article-title: Real-time fault-tolerant mHealth system: comprehensive review of healthcare services, opens issues, challenges and methodological aspects publication-title: J Med Syst – volume: 8 start-page: 223 year: 2018 end-page: 238 ident: bib0095 article-title: A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution publication-title: Health Technol – volume: 45 start-page: 427 year: 2009 end-page: 437 ident: bib0190 article-title: A systematic analysis of performance measures for classification tasks publication-title: Inf Process Manag – volume: 79 start-page: 3387 year: 2020 end-page: 3423 ident: bib0320 article-title: A proposed methodology of bringing past life in digital cultural heritage through crowd simulation: a case study in George Town, Malaysia publication-title: Multimed Tools Appl – year: 1993 ident: bib0240 article-title: Decisions with multiple objectives: preferences and value trade-offs – volume: 42 start-page: 204 year: 2018 ident: bib0080 article-title: Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges, issues and methodological aspects publication-title: J Med Syst – volume: 69 start-page: 1 year: 2018 end-page: 25 ident: bib0135 article-title: A survey on communication components for IoT-based technologies in smart homes publication-title: Telecommun Syst – volume: 19 year: 2020 ident: bib0520 article-title: Review of the research landscape of multi-criteria evaluation and benchmarking processes for many-objective optimisation methods: coherent taxonomy, challenges and recommended solution publication-title: Int J Inf Technol Decis Mak – volume: 9 start-page: 94 year: 1979 end-page: 101 ident: bib0280 article-title: MCDM-If not a Roman Numeral, then what? publication-title: Interfaces – volume: 118 start-page: 83 year: 2018 end-page: 95 ident: bib0340 article-title: Decision-making solution based multi-measurement design parameter for optimization of GPS receiver tracking channels in static and dynamic real-time positioning multipath environment publication-title: Measurement – volume: 43 start-page: 223 year: 2019 ident: bib0255 article-title: Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure publication-title: J Med Syst – volume: 18 start-page: 1187 year: 2019 end-page: 1242 ident: bib0285 article-title: Multi-criteria evaluation and benchmarking for active queue management methods: open issues challenges and recommended pathway solutions publication-title: Int J Inf Technol Decis Mak – start-page: 1 year: 2020 end-page: 8 ident: bib0050 article-title: Diagnosing COVID-19 pneumonia from X-ray and CT images using deep learning and transfer learning algorithms publication-title: arXiv – year: 1999 ident: bib0265 article-title: GIS and multicriteria decision analysis – start-page: 239 year: 2012 end-page: 254 ident: bib0215 article-title: Randomizing smartphone malware profiles against statistical mining techniques, Berlin, Heidelberg – volume: 12 start-page: 165 year: 2020 ident: bib0075 article-title: Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions publication-title: J Thorac Dis – volume: 103792 year: 2020 ident: bib0035 article-title: Automated detection of COVID-19 cases using deep neural networks with X-ray images publication-title: Comput Biol Med – volume: 47 start-page: 1365 year: 2017 end-page: 1392 ident: bib0375 article-title: A new digital watermarking evaluation and benchmarking methodology using an external group of evaluators and multi‐criteria analysis based on ‘large‐scale data’ publication-title: Softw Pract Exp – year: 2013 ident: bib0470 article-title: Anti-pornography algorithm based on multi-agent learning in skin detector and pornography classifier – volume: 53 start-page: 390 year: 2015 end-page: 404 ident: bib0390 article-title: Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS publication-title: J Biomed Inform – volume: 111 start-page: 38 year: 2017 end-page: 50 ident: bib0505 article-title: A methodology for football players selection problem based on multi-measurements criteria analysis publication-title: Measurement – volume: 156 start-page: 445 year: 2004 end-page: 455 ident: bib0435 article-title: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS publication-title: Eur J Oper Res – volume: 2014 year: 2014 ident: bib0305 article-title: Cloud service selection using multicriteria decision analysis publication-title: Sci World J – volume: 72 start-page: 285 year: 2019 end-page: 337 ident: bib0275 article-title: Comprehensive review and analysis of anti-malware apps for smartphones publication-title: Telecommun Syst – reference: W. H. Organization, Coronavirus disease 2019 (COVID-19): situation report, 72, 2020. – volume: 6 start-page: 73245 year: 2018 end-page: 73264 ident: bib0125 article-title: Comprehensive insights into the criteria of student performance in various educational domains publication-title: IEEE Access – start-page: 1 year: 2018 end-page: 15 ident: bib0365 article-title: MOGSABAT: a metaheuristic hybrid algorithm for solving multi-objective optimisation problems publication-title: Neural Comput Appl – volume: 42 start-page: 80 year: 2018 ident: bib0115 article-title: Systematic review of real-time remote health monitoring system in triage and priority-based sensor technology: taxonomy, open challenges, motivation and recommendations publication-title: J Med Syst – start-page: 1084 year: 2017 end-page: 1088 ident: bib0410 article-title: Multi-complex attributes analysis for optimum GPS baseband receiver tracking channels selection publication-title: 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT) – volume: 32 start-page: 136 year: 2014 end-page: 150 ident: bib0465 article-title: Image skin segmentation based on multi-agent learning Bayesian and neural network publication-title: Eng Appl Artif Intell – volume: 27 year: 2013 ident: bib0450 article-title: An automated anti-pornography system using a skin detector based on artificial intelligence: a review publication-title: Intern J Pattern Recognit Artif Intell – volume: 144 start-page: 799 year: 2020 end-page: 805 ident: bib0030 article-title: An analysis of 38 pregnant women with COVID-19, their newborn infants, and maternal-fetal transmission of SARS-CoV-2: maternal coronavirus infections and pregnancy outcomes publication-title: Arch Pathol Laborat Med – volume: 42 start-page: 238 year: 2018 ident: bib0120 article-title: Real-time remote health monitoring systems using body sensor information and finger vein biometric verification: a multi-layer systematic review publication-title: J Med Syst – volume: 42 start-page: 30 year: 2018 ident: bib0330 article-title: Based real time remote health monitoring systems: a review on patients prioritization and related big data using body sensors information and communication technology publication-title: J Med Syst – volume: 53 start-page: 141 year: 2020 end-page: 165 ident: bib0490 article-title: A review on intelligent process for smart home applications based on IoT: coherent taxonomy, motivation, open challenges, and recommendations publication-title: Artif Intell Rev – volume: 7 start-page: 146620 year: 2019 end-page: 146651 ident: bib0310 article-title: Multi-criteria evaluation and benchmarking for young learners’ english language mobile applications in terms of LSRW skills publication-title: IEEE Access – volume: 105532 year: 2020 ident: bib0195 article-title: COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios publication-title: arXiv – volume: 38 start-page: 233 year: 2003 end-page: 244 ident: bib0445 article-title: Why the magic number seven plus or minus two publication-title: Math Comput Model – start-page: 1 year: 2017 end-page: 42 ident: bib0385 article-title: A new approach based on multi-dimensional evaluation and benchmarking for data hiding techniques publication-title: Int J Inf Technol Decis Mak – volume: 44 start-page: 122 year: 2020 ident: bib0070 article-title: Role of biological data mining and machine learning techniques in detecting and diagnosing the novel coronavirus (COVID-19): a systematic review publication-title: J Med Syst – volume: 7 start-page: 126201 year: 2019 end-page: 126223 ident: bib0315 article-title: Assessment and ranking framework for the English skills of pre-service teachers based on fuzzy Delphi and TOPSIS methods publication-title: IEEE Access – start-page: 991 year: 2009 end-page: 997 ident: bib0250 article-title: Analytic hierarchy process (AHP), weighted scoring method (WSM), and hybrid knowledge based system (HKBS) for software selection: a comparative study publication-title: 2009 Second International Conference on Emerging Trends in Engineering & Technology – volume: 27 start-page: 603 year: 2020 end-page: 608 ident: bib0040 article-title: Coronavirus disease (COVID-19): spectrum of CT findings and temporal progression of the disease publication-title: Acad Radiol – volume: 200432 year: 2020 ident: bib0020 article-title: Sensitivity of chest CT for COVID-19: comparison to RT-PCR publication-title: Radiology – volume: 42 start-page: 60 year: 2017 end-page: 88 ident: bib0475 article-title: A survey on deep learning in medical image analysis publication-title: Med Image Anal – volume: 8 start-page: 79521 year: 2020 end-page: 79540 ident: bib0200 article-title: A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy publication-title: IEEE Access – start-page: 814 year: 2013 end-page: 819 ident: bib0225 article-title: On behavior-based detection of malware on android platform publication-title: 2013 IEEE Global Communications Conference (GLOBECOM) – start-page: 288 year: 2015 end-page: 293 ident: bib0220 article-title: Android anomaly detection system using machine learning classification publication-title: 2015 International Conference on Electrical Engineering and Informatics (ICEEI) – volume: 42 start-page: 2344 year: 2018 end-page: 2372 ident: bib0430 article-title: Use of MCDM techniques for energy policy and decision‐making problems: a review publication-title: Int J Energy Res – volume: 2 start-page: 719 year: 2018 end-page: 731 ident: bib0065 article-title: Artificial intelligence in healthcare publication-title: Nat Biomed Eng – volume: 114 start-page: 243 year: 2018 end-page: 260 ident: bib0100 article-title: Comprehensive insights into evaluation and benchmarking of real-time skin detectors: review, open issues & challenges, and recommended solutions publication-title: Measurement – volume: 7 start-page: 100 year: 2016 ident: bib0440 article-title: Decision support for participatory forest planning using AHP and TOPSIS publication-title: Forests – start-page: 1 year: 2019 end-page: 52 ident: bib0090 article-title: Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology publication-title: Neural Comput Appl – volume: 7 start-page: 50052 year: 2019 end-page: 50080 ident: bib0260 article-title: Fault-tolerant mHealth framework in the context of IoT-based real-time wearable health data sensors publication-title: IEEE Access – volume: 17 start-page: 447 year: 2020 end-page: 451 ident: bib0005 article-title: Coronavirus (COVID-19) outbreak: what the department of radiology should know publication-title: J Am Coll Radiol – volume: 2 start-page: e225 year: 2020 ident: bib0180 article-title: Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence publication-title: Lancet Digit Health – volume: 8 start-page: 91521 year: 2020 end-page: 91530 ident: bib0420 article-title: A uniform intelligent prioritisation for solving diverse and big data generated from multiple chronic diseases patients based on hybrid decision-making and voting method publication-title: IEEE Access – volume: 43 start-page: 212 year: 2019 ident: bib0085 article-title: Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR publication-title: J Med Syst – volume: 19 year: 2020 ident: bib0510 article-title: Multi-biological laboratory examination framework for the prioritisation of patients with COVID-19 based on integrated AHP and group VIKOR methods publication-title: Int J Inf Technol Decis Mak – volume: 8 start-page: 385 year: 2013 end-page: 396 ident: bib0480 article-title: A review on image feature extraction and representation techniques publication-title: Int J Multimed Ubiquitous Eng – volume: 42 start-page: 245 year: 2018 ident: bib0130 article-title: Real-time medical systems based on human biometric steganography: a systematic review publication-title: J Med Syst – volume: 109761 year: 2020 ident: bib0165 article-title: COVIDiagnosis-net: deep Bayes-SqueezeNet based diagnostic of the coronavirus disease 2019 (COVID-19) from X-ray images publication-title: Med Hypotheses – year: 2013 ident: bib0245 article-title: Multicriteria decision making: a case study in the automobile industry – volume: 131 start-page: 129 year: 2018 end-page: 133 ident: bib0060 article-title: Artificial intelligence in medical practice: the question to the answer? publication-title: Am J Med – volume: 43 start-page: 207 year: 2019 ident: bib0290 article-title: Mobile patient monitoring systems from a benchmarking aspect: challenges, open issues and recommended solutions publication-title: J Med Syst – volume: 185 year: 2020 ident: bib0325 article-title: Novel technique for reorganisation of opinion order to interval levels for solving several instances representing prioritisation in patients with multiple chronic diseases publication-title: Comput Methods Programs Biomed – volume: 92 start-page: 568 year: 2020 end-page: 576 ident: bib0010 article-title: Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measures publication-title: J Med Virol – start-page: 1 year: 2018 end-page: 28 ident: bib0355 article-title: Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis publication-title: Health Technol – volume: 2 start-page: 409 year: 2012 end-page: 436 ident: bib0230 article-title: Machine tool selection using AHP and VIKOR methodologies under fuzzy environment publication-title: Int J Model Oper Manag – volume: 18 start-page: 1848 year: 2020 end-page: 1849 ident: bib0025 article-title: Antibodies in infants born to mothers with COVID-19 pneumonia publication-title: JAMA – volume: 43 start-page: 33 year: 2019 ident: bib0150 article-title: Sensor-based mHealth authentication for real-time remote healthcare monitoring system: a multilayer systematic review publication-title: J Med Syst – volume: 43 start-page: 42 year: 2019 ident: bib0105 article-title: Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: multi-driven systematic review publication-title: J Med Syst – start-page: 422 year: 2015 end-page: 433 ident: bib0210 article-title: MARVIN: efficient and comprehensive Mobile app classification through static and dynamic analysis publication-title: 2015 IEEE 39th Annual Computer Software and Applications Conference – volume: 42 start-page: 164 year: 2018 ident: bib0335 article-title: Real-time remote health-monitoring Systems in a Medical Centre: a review of the provision of healthcare services-based body sensor information, open challenges and methodological aspects publication-title: J Med Syst – start-page: 1 year: 2020 end-page: 2 ident: bib0045 article-title: Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19 publication-title: IEEE Rev Biomed Eng – volume: 21 start-page: 505 year: 2020 end-page: 508 ident: bib0155 article-title: False-negative results of real-time reverse-transcriptase polymerase chain reaction for severe acute respiratory syndrome coronavirus 2: role of deep-learning-based CT diagnosis and insights from two cases publication-title: Korean J Radiol – volume: 24 year: 2015 ident: bib0485 article-title: Robust pornography classification solving the image size variation problem based on multi-agent learning publication-title: J Circuits Syst Comput – volume: 5 start-page: 248 year: 2016 ident: bib0425 article-title: An evaluation and selection problems of OSS-LMS packages publication-title: SpringerPlus – year: 2020 ident: bib0170 article-title: Deep learning COVID-19 features on CXR using limited training data sets publication-title: arXiv preprint arXiv:2004.05758 – volume: 43 start-page: 219 year: 2019 ident: bib0295 article-title: Mobile-based patient monitoring systems: a prioritisation framework using multi-criteria decision-making techniques publication-title: J Med Syst – volume: 117 start-page: 277 year: 2018 end-page: 294 ident: bib0415 article-title: Comparative study on the evaluation and benchmarking information hiding approaches based multi-measurement analysis using TOPSIS method with different normalisation, separation and context techniques publication-title: Measurement – volume: 8 start-page: 9821 year: 2020 end-page: 9845 ident: bib0145 article-title: Finger vein biometrics: taxonomy analysis, open challenges, future directions, and recommended solution for decentralised network architectures publication-title: IEEE Access – volume: 7 start-page: 37269 year: 2019 end-page: 37323 ident: bib0270 article-title: Based multiple heterogeneous wearable sensors: a smart real-time health monitoring structured for hospitals distributor publication-title: IEEE Access – volume: 200642 year: 2020 ident: bib0015 article-title: Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases publication-title: Radiology – year: 2020 ident: bib0500 article-title: A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods publication-title: Neural Comput Appl – volume: 43 start-page: 192 year: 2019 ident: bib0140 article-title: Based medical systems for patient’s authentication: towards a new verification secure framework using CIA standard publication-title: J Med Syst – volume: 16 start-page: 1211 year: 2017 end-page: 1245 ident: bib0400 article-title: Novel methodology for triage and prioritizing using big data patients with chronic heart diseases through telemedicine environmental publication-title: Int J Inf Technol Decis Mak – volume: 19 start-page: 1 year: 2020 end-page: 73 ident: bib0515 article-title: Novel multi-perspective hiring framework for the selection of software programmer applicants based on AHP and group TOPSIS techniques publication-title: Int J Inf Technol Decis Mak – start-page: 1 year: 2019 end-page: 22 ident: bib0300 article-title: Medical emergency triage and patient prioritisation in a telemedicine environment: a systematic review publication-title: Health Technol – volume: 28 year: 2014 ident: bib0455 article-title: A four-phases methodology to propose anti-pornography system based on neural and Bayesian methods of artificial intelligence publication-title: Intern J Pattern Recognit Artif Intell – volume: 42 start-page: 69 year: 2018 ident: bib0345 article-title: Based on real time remote health monitoring systems: a new approach for prioritization large scales data patients with chronic heart diseases using body sensors and communication technology publication-title: J Med Syst – volume: 64 start-page: 41 year: 2019 end-page: 60 ident: bib0110 article-title: Blockchain authentication of network applications: taxonomy, classification, capabilities, open challenges, motivations, recommendations and future directions publication-title: Comput Stand Interfaces – volume: 2 start-page: e166 year: 2020 end-page: e167 ident: bib0185 article-title: COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread publication-title: Lancet Digit Health – volume: 68 start-page: 425 year: 2018 end-page: 443 ident: bib0405 article-title: Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers publication-title: Telecommun Syst – volume: 6 start-page: 324 year: 2013 end-page: 344 ident: bib0235 article-title: Agricultural performance evaluation by integrating fuzzy AHP and VIKOR methods publication-title: Int J Appl Decis Sci – volume: 1 start-page: 31 year: 2013 end-page: 43 ident: bib0360 article-title: A survey on multi criteria decision making methods and its applications publication-title: Am J Inf Syst – volume: 2014 year: 2014 ident: 10.1016/j.jiph.2020.06.028_bib0305 article-title: Cloud service selection using multicriteria decision analysis publication-title: Sci World J doi: 10.1155/2014/459375 – volume: 43 start-page: 42 issue: 3 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0105 article-title: Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: multi-driven systematic review publication-title: J Med Syst doi: 10.1007/s10916-019-1158-z – start-page: 1 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0050 article-title: Diagnosing COVID-19 pneumonia from X-ray and CT images using deep learning and transfer learning algorithms publication-title: arXiv – volume: 6 start-page: 73245 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0125 article-title: Comprehensive insights into the criteria of student performance in various educational domains publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2881282 – volume: 17 start-page: 447 issue: 4 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0005 article-title: Coronavirus (COVID-19) outbreak: what the department of radiology should know publication-title: J Am Coll Radiol doi: 10.1016/j.jacr.2020.02.008 – volume: 38 start-page: 233 issue: 3–4 year: 2003 ident: 10.1016/j.jiph.2020.06.028_bib0445 article-title: Why the magic number seven plus or minus two publication-title: Math Comput Model doi: 10.1016/S0895-7177(03)90083-5 – volume: 19 start-page: 1 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0515 article-title: Novel multi-perspective hiring framework for the selection of software programmer applicants based on AHP and group TOPSIS techniques publication-title: Int J Inf Technol Decis Mak – volume: 32 start-page: 136 year: 2014 ident: 10.1016/j.jiph.2020.06.028_bib0465 article-title: Image skin segmentation based on multi-agent learning Bayesian and neural network publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2014.03.002 – volume: 92 start-page: 568 issue: 6 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0010 article-title: Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measures publication-title: J Med Virol doi: 10.1002/jmv.25748 – start-page: 288 year: 2015 ident: 10.1016/j.jiph.2020.06.028_bib0220 article-title: Android anomaly detection system using machine learning classification publication-title: 2015 International Conference on Electrical Engineering and Informatics (ICEEI) doi: 10.1109/ICEEI.2015.7352512 – volume: 42 start-page: 245 issue: 12 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0130 article-title: Real-time medical systems based on human biometric steganography: a systematic review publication-title: J Med Syst doi: 10.1007/s10916-018-1103-6 – volume: 42 start-page: 238 issue: 12 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0120 article-title: Real-time remote health monitoring systems using body sensor information and finger vein biometric verification: a multi-layer systematic review publication-title: J Med Syst doi: 10.1007/s10916-018-1104-5 – start-page: 1084 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0410 article-title: Multi-complex attributes analysis for optimum GPS baseband receiver tracking channels selection – volume: 42 start-page: 69 issue: 4 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0345 article-title: Based on real time remote health monitoring systems: a new approach for prioritization large scales data patients with chronic heart diseases using body sensors and communication technology publication-title: J Med Syst doi: 10.1007/s10916-018-0916-7 – volume: 156 start-page: 445 issue: 2 year: 2004 ident: 10.1016/j.jiph.2020.06.028_bib0435 article-title: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS publication-title: Eur J Oper Res doi: 10.1016/S0377-2217(03)00020-1 – volume: 109761 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0165 article-title: COVIDiagnosis-net: deep Bayes-SqueezeNet based diagnostic of the coronavirus disease 2019 (COVID-19) from X-ray images publication-title: Med Hypotheses – volume: 9 start-page: 94 issue: 4 year: 1979 ident: 10.1016/j.jiph.2020.06.028_bib0280 article-title: MCDM-If not a Roman Numeral, then what? publication-title: Interfaces doi: 10.1287/inte.9.4.94 – volume: 43 start-page: 207 issue: 7 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0290 article-title: Mobile patient monitoring systems from a benchmarking aspect: challenges, open issues and recommended solutions publication-title: J Med Syst doi: 10.1007/s10916-019-1336-z – volume: 47 start-page: 1365 issue: 10 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0375 article-title: A new digital watermarking evaluation and benchmarking methodology using an external group of evaluators and multi‐criteria analysis based on ‘large‐scale data’ publication-title: Softw Pract Exp doi: 10.1002/spe.2465 – volume: 18 start-page: 1187 issue: 4 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0285 article-title: Multi-criteria evaluation and benchmarking for active queue management methods: open issues challenges and recommended pathway solutions publication-title: Int J Inf Technol Decis Mak doi: 10.1142/S0219622019300039 – volume: 42 start-page: 204 issue: 11 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0080 article-title: Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges, issues and methodological aspects publication-title: J Med Syst doi: 10.1007/s10916-018-1064-9 – volume: 117 start-page: 277 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0415 article-title: Comparative study on the evaluation and benchmarking information hiding approaches based multi-measurement analysis using TOPSIS method with different normalisation, separation and context techniques publication-title: Measurement doi: 10.1016/j.measurement.2017.12.019 – volume: 19 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0510 article-title: Multi-biological laboratory examination framework for the prioritisation of patients with COVID-19 based on integrated AHP and group VIKOR methods publication-title: Int J Inf Technol Decis Mak doi: 10.1142/S0219622020500285 – volume: 7 start-page: 100 issue: 5 year: 2016 ident: 10.1016/j.jiph.2020.06.028_bib0440 article-title: Decision support for participatory forest planning using AHP and TOPSIS publication-title: Forests doi: 10.3390/f7050100 – volume: 78 start-page: 15 year: 2015 ident: 10.1016/j.jiph.2020.06.028_bib0395 article-title: Multi-criteria analysis for OS-EMR software selection problem: a comparative study publication-title: Decis Support Syst doi: 10.1016/j.dss.2015.07.002 – year: 2013 ident: 10.1016/j.jiph.2020.06.028_bib0245 – volume: 200642 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0015 article-title: Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases publication-title: Radiology – volume: 31 issue: 3 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0370 article-title: Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making techniques publication-title: Intern J Pattern Recognit Artif Intell doi: 10.1142/S0218001417590029 – year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0170 article-title: Deep learning COVID-19 features on CXR using limited training data sets publication-title: arXiv preprint arXiv:2004.05758 – volume: 42 start-page: 60 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0475 article-title: A survey on deep learning in medical image analysis publication-title: Med Image Anal doi: 10.1016/j.media.2017.07.005 – volume: 64 start-page: 41 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0110 article-title: Blockchain authentication of network applications: taxonomy, classification, capabilities, open challenges, motivations, recommendations and future directions publication-title: Comput Stand Interfaces doi: 10.1016/j.csi.2018.12.002 – volume: 21 start-page: 505 issue: 4 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0155 article-title: False-negative results of real-time reverse-transcriptase polymerase chain reaction for severe acute respiratory syndrome coronavirus 2: role of deep-learning-based CT diagnosis and insights from two cases publication-title: Korean J Radiol doi: 10.3348/kjr.2020.0146 – volume: 9 start-page: 313 issue: 6 year: 2015 ident: 10.1016/j.jiph.2020.06.028_bib0205 article-title: High accuracy android malware detection using ensemble learning publication-title: IET Inf Secur doi: 10.1049/iet-ifs.2014.0099 – volume: 7 start-page: 50052 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0260 article-title: Fault-tolerant mHealth framework in the context of IoT-based real-time wearable health data sensors publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2910411 – volume: 111 start-page: 38 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0505 article-title: A methodology for football players selection problem based on multi-measurements criteria analysis publication-title: Measurement doi: 10.1016/j.measurement.2017.07.024 – volume: 200432 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0020 article-title: Sensitivity of chest CT for COVID-19: comparison to RT-PCR publication-title: Radiology – volume: 42 start-page: 164 issue: 9 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0335 article-title: Real-time remote health-monitoring Systems in a Medical Centre: a review of the provision of healthcare services-based body sensor information, open challenges and methodological aspects publication-title: J Med Syst doi: 10.1007/s10916-018-1006-6 – volume: 42 start-page: 137 issue: 8 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0350 article-title: Real-time fault-tolerant mHealth system: comprehensive review of healthcare services, opens issues, challenges and methodological aspects publication-title: J Med Syst doi: 10.1007/s10916-018-0983-9 – volume: 7 start-page: 126201 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0315 article-title: Assessment and ranking framework for the English skills of pre-service teachers based on fuzzy Delphi and TOPSIS methods publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2936898 – volume: 44 start-page: 122 issue: 7 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0070 article-title: Role of biological data mining and machine learning techniques in detecting and diagnosing the novel coronavirus (COVID-19): a systematic review publication-title: J Med Syst doi: 10.1007/s10916-020-01582-x – volume: 7 start-page: 146620 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0310 article-title: Multi-criteria evaluation and benchmarking for young learners’ english language mobile applications in terms of LSRW skills publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2941640 – volume: 2 start-page: 719 issue: 10 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0065 article-title: Artificial intelligence in healthcare publication-title: Nat Biomed Eng doi: 10.1038/s41551-018-0305-z – start-page: 1 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0365 article-title: MOGSABAT: a metaheuristic hybrid algorithm for solving multi-objective optimisation problems publication-title: Neural Comput Appl – volume: 43 start-page: 223 issue: 7 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0255 article-title: Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure publication-title: J Med Syst doi: 10.1007/s10916-019-1362-x – volume: 118 start-page: 83 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0340 article-title: Decision-making solution based multi-measurement design parameter for optimization of GPS receiver tracking channels in static and dynamic real-time positioning multipath environment publication-title: Measurement doi: 10.1016/j.measurement.2018.01.011 – volume: 27 issue: 4 year: 2013 ident: 10.1016/j.jiph.2020.06.028_bib0450 article-title: An automated anti-pornography system using a skin detector based on artificial intelligence: a review publication-title: Intern J Pattern Recognit Artif Intell doi: 10.1142/S0218001413500122 – ident: 10.1016/j.jiph.2020.06.028_bib0055 doi: 10.1093/cid/ciaa688 – volume: 131 start-page: 129 issue: 2 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0060 article-title: Artificial intelligence in medical practice: the question to the answer? publication-title: Am J Med doi: 10.1016/j.amjmed.2017.10.035 – volume: 8 start-page: 79521 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0200 article-title: A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2990893 – volume: 8 start-page: 223 issue: 4 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0095 article-title: A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution publication-title: Health Technol doi: 10.1007/s12553-018-0223-9 – year: 2013 ident: 10.1016/j.jiph.2020.06.028_bib0470 – volume: 2 start-page: e225 issue: 5 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0180 article-title: Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence publication-title: Lancet Digit Health doi: 10.1016/S2589-7500(20)30079-0 – volume: 16 start-page: 1211 issue: 5 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0400 article-title: Novel methodology for triage and prioritizing using big data patients with chronic heart diseases through telemedicine environmental publication-title: Int J Inf Technol Decis Mak doi: 10.1142/S0219622017500225 – volume: 7 start-page: 37269 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0270 article-title: Based multiple heterogeneous wearable sensors: a smart real-time health monitoring structured for hospitals distributor publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2898214 – start-page: 1 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0355 article-title: Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis publication-title: Health Technol – volume: 19 start-page: 1 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0495 article-title: A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques publication-title: Int J Inf Technol Decis Mak doi: 10.1142/S0219622020500169 – start-page: 239 year: 2012 ident: 10.1016/j.jiph.2020.06.028_bib0215 – volume: 2 start-page: 409 issue: 4 year: 2012 ident: 10.1016/j.jiph.2020.06.028_bib0230 article-title: Machine tool selection using AHP and VIKOR methodologies under fuzzy environment publication-title: Int J Model Oper Manag – start-page: 1 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0300 article-title: Medical emergency triage and patient prioritisation in a telemedicine environment: a systematic review publication-title: Health Technol – volume: 43 start-page: 33 issue: 2 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0150 article-title: Sensor-based mHealth authentication for real-time remote healthcare monitoring system: a multilayer systematic review publication-title: J Med Syst doi: 10.1007/s10916-018-1149-5 – volume: 1 start-page: 31 issue: 1 year: 2013 ident: 10.1016/j.jiph.2020.06.028_bib0360 article-title: A survey on multi criteria decision making methods and its applications publication-title: Am J Inf Syst – volume: 12 start-page: 165 issue: 3 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0075 article-title: Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions publication-title: J Thorac Dis doi: 10.21037/jtd.2020.02.64 – volume: 42 start-page: 80 issue: 5 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0115 article-title: Systematic review of real-time remote health monitoring system in triage and priority-based sensor technology: taxonomy, open challenges, motivation and recommendations publication-title: J Med Syst doi: 10.1007/s10916-018-0943-4 – year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0500 article-title: A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods publication-title: Neural Comput Appl – volume: 8 start-page: 91521 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0420 article-title: A uniform intelligent prioritisation for solving diverse and big data generated from multiple chronic diseases patients based on hybrid decision-making and voting method publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2994746 – volume: 8 start-page: 385 issue: 4 year: 2013 ident: 10.1016/j.jiph.2020.06.028_bib0480 article-title: A review on image feature extraction and representation techniques publication-title: Int J Multimed Ubiquitous Eng – start-page: 1 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0385 article-title: A new approach based on multi-dimensional evaluation and benchmarking for data hiding techniques publication-title: Int J Inf Technol Decis Mak – volume: 42 start-page: 2344 issue: 7 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0430 article-title: Use of MCDM techniques for energy policy and decision‐making problems: a review publication-title: Int J Energy Res doi: 10.1002/er.4016 – volume: 131 start-page: 397 year: 2014 ident: 10.1016/j.jiph.2020.06.028_bib0460 article-title: On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system publication-title: Neurocomputing doi: 10.1016/j.neucom.2013.10.003 – start-page: 1 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0045 article-title: Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19 publication-title: IEEE Rev Biomed Eng – volume: 43 start-page: 219 issue: 7 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0295 article-title: Mobile-based patient monitoring systems: a prioritisation framework using multi-criteria decision-making techniques publication-title: J Med Syst doi: 10.1007/s10916-019-1339-9 – year: 1999 ident: 10.1016/j.jiph.2020.06.028_bib0265 – start-page: 814 year: 2013 ident: 10.1016/j.jiph.2020.06.028_bib0225 article-title: On behavior-based detection of malware on android platform publication-title: 2013 IEEE Global Communications Conference (GLOBECOM) doi: 10.1109/GLOCOM.2013.6831173 – volume: 79 start-page: 3387 issue: 5 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0320 article-title: A proposed methodology of bringing past life in digital cultural heritage through crowd simulation: a case study in George Town, Malaysia publication-title: Multimed Tools Appl doi: 10.1007/s11042-019-07925-2 – volume: 28 issue: 1 year: 2014 ident: 10.1016/j.jiph.2020.06.028_bib0455 article-title: A four-phases methodology to propose anti-pornography system based on neural and Bayesian methods of artificial intelligence publication-title: Intern J Pattern Recognit Artif Intell doi: 10.1142/S0218001414590010 – volume: 26 issue: 7 year: 2017 ident: 10.1016/j.jiph.2020.06.028_bib0380 article-title: Systems, and Computers, Software and hardware FPGA-based digital watermarking and steganography approaches: toward new methodology for evaluation and benchmarking using multi-criteria decision-making techniques publication-title: J Circuits Syst Comput doi: 10.1142/S021812661750116X – volume: 5 start-page: 248 issue: 1 year: 2016 ident: 10.1016/j.jiph.2020.06.028_bib0425 article-title: An evaluation and selection problems of OSS-LMS packages publication-title: SpringerPlus doi: 10.1186/s40064-016-1828-y – volume: 103805 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0175 article-title: COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches publication-title: Comput Biol Med – start-page: 1 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0090 article-title: Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology publication-title: Neural Comput Appl – volume: 6 start-page: 324 issue: 4 year: 2013 ident: 10.1016/j.jiph.2020.06.028_bib0235 article-title: Agricultural performance evaluation by integrating fuzzy AHP and VIKOR methods publication-title: Int J Appl Decis Sci – volume: 53 start-page: 390 year: 2015 ident: 10.1016/j.jiph.2020.06.028_bib0390 article-title: Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS publication-title: J Biomed Inform doi: 10.1016/j.jbi.2014.11.012 – year: 1993 ident: 10.1016/j.jiph.2020.06.028_bib0240 – volume: 144 start-page: 799 issue: 7 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0030 article-title: An analysis of 38 pregnant women with COVID-19, their newborn infants, and maternal-fetal transmission of SARS-CoV-2: maternal coronavirus infections and pregnancy outcomes publication-title: Arch Pathol Laborat Med doi: 10.5858/arpa.2020-0901-SA – start-page: 991 year: 2009 ident: 10.1016/j.jiph.2020.06.028_bib0250 article-title: Analytic hierarchy process (AHP), weighted scoring method (WSM), and hybrid knowledge based system (HKBS) for software selection: a comparative study – volume: 19 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0520 article-title: Review of the research landscape of multi-criteria evaluation and benchmarking processes for many-objective optimisation methods: coherent taxonomy, challenges and recommended solution publication-title: Int J Inf Technol Decis Mak doi: 10.1142/S0219622020300049 – year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0160 article-title: COVID-19 severity scoring tool for low resourced settings publication-title: Afr J Emerg Med doi: 10.1016/j.afjem.2020.03.002 – volume: 42 start-page: 30 issue: 2 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0330 article-title: Based real time remote health monitoring systems: a review on patients prioritization and related big data using body sensors information and communication technology publication-title: J Med Syst doi: 10.1007/s10916-017-0883-4 – volume: 43 start-page: 212 issue: 7 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0085 article-title: Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR publication-title: J Med Syst doi: 10.1007/s10916-019-1338-x – volume: 8 start-page: 9821 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0145 article-title: Finger vein biometrics: taxonomy analysis, open challenges, future directions, and recommended solution for decentralised network architectures publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2964788 – volume: 69 start-page: 1 issue: 1 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0135 article-title: A survey on communication components for IoT-based technologies in smart homes publication-title: Telecommun Syst doi: 10.1007/s11235-018-0430-8 – volume: 18 start-page: 1848 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0025 article-title: Antibodies in infants born to mothers with COVID-19 pneumonia publication-title: JAMA – volume: 43 start-page: 192 issue: 7 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0140 article-title: Based medical systems for patient’s authentication: towards a new verification secure framework using CIA standard publication-title: J Med Syst doi: 10.1007/s10916-019-1264-y – volume: 45 start-page: 427 issue: 4 year: 2009 ident: 10.1016/j.jiph.2020.06.028_bib0190 article-title: A systematic analysis of performance measures for classification tasks publication-title: Inf Process Manag doi: 10.1016/j.ipm.2009.03.002 – volume: 24 issue: 2 year: 2015 ident: 10.1016/j.jiph.2020.06.028_bib0485 article-title: Robust pornography classification solving the image size variation problem based on multi-agent learning publication-title: J Circuits Syst Comput doi: 10.1142/S0218126615500231 – volume: 27 start-page: 603 issue: 5 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0040 article-title: Coronavirus disease (COVID-19): spectrum of CT findings and temporal progression of the disease publication-title: Acad Radiol doi: 10.1016/j.acra.2020.03.003 – volume: 185 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0325 article-title: Novel technique for reorganisation of opinion order to interval levels for solving several instances representing prioritisation in patients with multiple chronic diseases publication-title: Comput Methods Programs Biomed doi: 10.1016/j.cmpb.2019.105151 – volume: 114 start-page: 243 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0100 article-title: Comprehensive insights into evaluation and benchmarking of real-time skin detectors: review, open issues & challenges, and recommended solutions publication-title: Measurement doi: 10.1016/j.measurement.2017.09.027 – volume: 72 start-page: 285 issue: 2 year: 2019 ident: 10.1016/j.jiph.2020.06.028_bib0275 article-title: Comprehensive review and analysis of anti-malware apps for smartphones publication-title: Telecommun Syst doi: 10.1007/s11235-019-00575-7 – volume: 103792 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0035 article-title: Automated detection of COVID-19 cases using deep neural networks with X-ray images publication-title: Comput Biol Med – start-page: 422 year: 2015 ident: 10.1016/j.jiph.2020.06.028_bib0210 article-title: MARVIN: efficient and comprehensive Mobile app classification through static and dynamic analysis publication-title: 2015 IEEE 39th Annual Computer Software and Applications Conference doi: 10.1109/COMPSAC.2015.103 – volume: 68 start-page: 425 issue: 3 year: 2018 ident: 10.1016/j.jiph.2020.06.028_bib0405 article-title: Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers publication-title: Telecommun Syst doi: 10.1007/s11235-017-0401-5 – volume: 53 start-page: 141 issue: 1 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0490 article-title: A review on intelligent process for smart home applications based on IoT: coherent taxonomy, motivation, open challenges, and recommendations publication-title: Artif Intell Rev doi: 10.1007/s10462-018-9648-9 – volume: 2 start-page: e166 issue: 4 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0185 article-title: COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread publication-title: Lancet Digit Health doi: 10.1016/S2589-7500(20)30054-6 – volume: 105532 year: 2020 ident: 10.1016/j.jiph.2020.06.028_bib0195 article-title: COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios publication-title: arXiv |
| SSID | ssj0063549 |
| Score | 2.5851982 |
| SecondaryResourceType | review_article |
| Snippet | This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019... |
| SourceID | doaj pubmedcentral proquest pubmed crossref elsevier |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 1381 |
| SubjectTerms | Artificial intelligence Artificial Intelligence - standards Benchmarking Betacoronavirus Coronavirus Infections - diagnostic imaging COVID-19 Decision Support Techniques Decision-making Evaluation Humans MCDA Medical image Pandemics Pneumonia, Viral - diagnostic imaging Radiography, Thoracic - classification Review SARS-CoV-2 Tomography, X-Ray Computed - classification |
| SummonAdditionalLinks | – databaseName: DOAJ - Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQD4gLojzDS0biBhGO7cQxNyhUBalwoEW9WfFLTcVmK3Yr9TfzK5ixk7ALUnvhFjkeR5OMZz7H428IeamkZlYGXnrb-VIKa0tb1bFEphShhYWIjv87Dr80B8fy80l9slHqC3PCMj1wfnFvIHxzxaTyAUI7cplIXTmIwUo7xwEeovdlmk2LqeyDIYom4FvBXC8ZOOrxuEzO7Drrz3EbgrPE3Il12DdCUmLu34pM_yLPvxMoNyLS_h1ye4SS9F1WYZfcCMNdcvNw3Cy_R359m1maaT6hQpeRosaZNYL2G3ScdCZzXUE7BVhIfVinPK2BdoOnDmE2SqZPiSPtff3-6UNZabrImz20X4BzyuLg71fY5w-ZeBrEwqNOF136P_-WHnWX6UgF3MrMKK-pm2q7wHWmO6Hz5Egj5IrXk8emXTopurpPjvc_Hu0dlGNph9LViq9LXnWuFsFVtm1sYDq6rmlYkKFta2kji7WGdg9rw9i0PrYsCOEBW3hufacAdD4gO8NyCI8IDTCKDJaH2ETptNBBNK7lIopGexVVQarp6xo38p5j-Y0fZkpwOzNoEQYtwmCWH28L8mqWOc-sH1f2fo9GM_dExu7UAHZsRjs219lxQcRkcmY6FAtuHAbqr3x0PUuNkClDoWvlXkxWbcCf4CZRN4Tlxcogvob5AzixIA-zlc-KAdSHuKqqgqgt-9_SfPvO0J8mznLkhILF6-P_8aqekFuoSk6pfEp21j8vwjOAhmv7PHmB3xZEZCE priority: 102 providerName: Directory of Open Access Journals |
| Title | Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S187603412030558X https://dx.doi.org/10.1016/j.jiph.2020.06.028 https://www.ncbi.nlm.nih.gov/pubmed/32646771 https://www.proquest.com/docview/2423063190 https://pubmed.ncbi.nlm.nih.gov/PMC7328559 https://doaj.org/article/92927047de5144948491c15979cc2882 |
| Volume | 13 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELaqHhAXxJuFUhmJG4RNbCeOucFCVZAKh7Zob1H8alOx2VV3K_XED-ZXMGMnYQNSkbjtOrYTJ-OZz_bMN4S8lEKlWjiWWF3bRHCtE53lPkGmFK64BouO-x1HX4rDU_F5ns93yKyPhUG3yk73R50etHVXMu3e5nTVNNPjDCZyCkqYBZqrco4R7EKirL_5Mbh5gD0NEBgrJ1i7C5yJPl4XzQoPJFgaODwxI_uWcQoc_iMb9TcG_dOVcss2HdwldzpQSd_F575Hdlx7n9w66o7NH5CfxwNfM42xKnTpKQ4z8kfQZouYkw60rmsopwAQqXWb4LHV0rq11CDgxpbho2JPs6_fPn1IMkUX8diHNgtQU7E5aP411vlNKx460XCr80Uddurf0pP6OgRXwKXIkfKamj7LC_yOxCd0mCahh5j7utfdtA4xo-uH5PTg48nsMOmSPCQml2yTsKw2OXcm02WhXaq8qYsidcKVZS60T32uoNzCKtEXpfVl6ji3gDIs07aWAD8fkd122bonhDroRTjNnC-8MIorxwtTMu55oaz0ckKy_utWpmNAx0Qc36ve1e2iQomoUCIq9Pdj5YS8GtqsIv_HjbXfo9AMNZG7OxQsL8-qTngrAKRMpkJaB2AV2XmEygygSqmMYbDgmRDei1zVh8eCQoeOmhtvnQ-tRhPon-1e9FJdgWbB46K6dcurdYVIG-YPIMYJeRylfBgYgH6wsDKbEDmS_9HIx1fa5jywlyM7FCxjn_7n8z4jt_Ff9KfcI7ubyyv3HHDhRu-Hib8fdlV-ARHqZ-U |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELaWRQIuiOdSnkbiBqGJ7cQJNyisurBdDttFvUXxi82KptW2K3HiB_MrmLGT0IK0SNwie-zEyXjmczzzmZAXUhSxEpZFRlUmElypSCWpi5AphRdcgUfH_x2To2x8Ij7O0tkOGXW5MBhW2dr-YNO9tW5Lhu3bHC7renicwESOwQgzT3OVz66QqyLlEuP6Xv_o4zzAoXoMjNIRireZMyHI66xe4o4Eiz2JJx7JvuGdPIn_lpP6G4T-GUu54Zz2b5GbLaqkb8OD3yY7trlDrk3affO75OdxT9hMQ7IKXTiK4wwEErTeYOakPa_rCsopIERq7NqHbDW0agzViLixpf-q2NPo85eD91FS0HnY96H1HOxUaA6mf4Uyv3nFfScKbnU6r_yv-jd0Wn332RVQFUhSXlHdHfMC14H5hPbzxPcQDr_ujDetfNLo6h452f8wHY2j9pSHSKeSrSOWVDrlVicqz5SNC6erLIutsHmeCuVilxZQbmCZ6LLcuDy2nBuAGYYpU0nAn_fJbrNo7ANCLfQirGLWZU7ogheWZzpn3PGsMNLJAUm6r1vqlgIdT-L4VnaxbmclakSJGlFiwB_LB-Rl32YZCEAulX6HStNLInm3L1icfy1b7S0BkTIZC2ksoFWk5xFFogFWykJrBiueAeGdypVdfixYdOiovvTWad9qawb9s93zTqtLMC24X1Q1dnGxKhFqw_wByDgge0HL-4EB6gcXK5MBkVv6vzXy7ZqmPvX05UgPBevYh__5vM_I9fF0clgeHhx9ekRuYE0IrnxMdtfnF_YJgMS1euqNwC-dCmoR |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Systematic+review+of+artificial+intelligence+techniques+in+the+detection+and+classification+of+COVID-19+medical+images+in+terms+of+evaluation+and+benchmarking%3A+Taxonomy+analysis%2C+challenges%2C+future+solutions+and+methodological+aspects&rft.jtitle=Journal+of+infection+and+public+health&rft.au=Albahri%2C+O+S&rft.au=Zaidan%2C+A+A&rft.au=Albahri%2C+A+S&rft.au=Zaidan%2C+B+B&rft.date=2020-10-01&rft.issn=1876-035X&rft.eissn=1876-035X&rft.volume=13&rft.issue=10&rft.spage=1381&rft_id=info:doi/10.1016%2Fj.jiph.2020.06.028&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1876-0341&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1876-0341&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1876-0341&client=summon |