Multi-Disease Prediction Based on Deep Learning: A Survey

In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI's research in the medical field have allowed people to see the excellent prospects of the integration of AI and healthcare. Among them, the hot deep learning field has shown greater potential in app...

Full description

Saved in:
Bibliographic Details
Published inComputer modeling in engineering & sciences Vol. 128; no. 2; pp. 489 - 522
Main Authors Xie, Shuxuan, Yu, Zengchen, Lv, Zhihan
Format Journal Article
LanguageEnglish
Published Henderson Tech Science Press 01.01.2021
Subjects
Artificial intelligence
Covid-19
Deep Learning
Disease
Disease Prediction
Feature extraction
Internet Of Things
Machine learning
Medical research
Model accuracy
Precision Medicine
Regression models
Online AccessGet full text

Cover

Abstract In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI's research in the medical field have allowed people to see the excellent prospects of the integration of AI and healthcare. Among them, the hot deep learning field has shown greater potential in applications such as disease prediction and drug response prediction. From the initial logistic regression model to the machine learning model, and then to the deep learning model today, the accuracy of medical disease prediction has been continuously improved, and the performance in all aspects has also been significantly improved. This article introduces some basic deep learning frameworks and some common diseases, and summarizes the deep learning prediction methods corresponding to different diseases. Point out a series of problems in the current disease prediction, and make a prospect for the future development. It aims to clarify the effectiveness of deep learning in disease prediction, and demonstrates the high correlation between deep learning and the medical field in future development. The unique feature extraction methods of deep learning methods can still play an important role in future medical research.
AbstractList In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI’s research in the medical field have allowed people to see the excellent prospects of the integration of AI and healthcare. Among them, the hot deep learning field has shown greater potential in applications such as disease prediction and drug response prediction. From the initial logistic regression model to the machine learning model, and then to the deep learning model today, the accuracy of medical disease prediction has been continuously improved, and the performance in all aspects has also been significantly improved. This article introduces some basic deep learning frameworks and some common diseases, and summarizes the deep learning prediction methods corresponding to different diseases. Point out a series of problems in the current disease prediction, and make a prospect for the future development. It aims to clarify the effectiveness of deep learning in disease prediction, and demonstrates the high correlation between deep learning and the medical field in future development. The unique feature extraction methods of deep learning methods can still play an important role in future medical research.
In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI's research in the medical field have allowed people to see the excellent prospects of the integration of AI and healthcare. Among them, the hot deep learning field has shown greater potential in applications such as disease prediction and drug response prediction. From the initial logistic regression model to the machine learning model, and then to the deep learning model today, the accuracy of medical disease prediction has been continuously improved, and the performance in all aspects has also been significantly improved. This article introduces some basic deep learning frameworks and some common diseases, and summarizes the deep learning prediction methods corresponding to different diseases. Point out a series of problems in the current disease prediction, and make a prospect for the future development. It aims to clarify the effectiveness of deep learning in disease prediction, and demonstrates the high correlation between deep learning and the medical field in future development. The unique feature extraction methods of deep learning methods can still play an important role in future medical research.
Author Xie, Shuxuan
Yu, Zengchen
Lv, Zhihan
Author_xml – sequence: 1
  givenname: Shuxuan
  surname: Xie
  fullname: Xie, Shuxuan
– sequence: 2
  givenname: Zengchen
  surname: Yu
  fullname: Yu, Zengchen
– sequence: 3
  givenname: Zhihan
  surname: Lv
  fullname: Lv, Zhihan
BookMark eNp9UU1rGzEUFCWFxE5_QG8LPa_z9L3qKanzCU5baHsW8u5bo-DsOpIccH59tN6GhEKqi0YwM09vZkIOur5DQj5TmHGmQJzU9xhnDBidAVWaVR_IEZVMlVSCOnjBwrBDMonxDoArXpkjYm636-TLcx_RRSx-Bmx8nXzfFd_yuykyOEfcFAt0ofPd6mtxVvzahkfcHZOPrVtH_PT3npI_lxe_59fl4sfVzfxsUdZCiFQupQRXQyslVlJRqE1jtGkQ3JJXTYOiVUpJw1rFtRK6UppXsjW6paDBAeVT8mX03YT-YYsx2bt-G7o80jIpNRV5aZ5ZemTVoY8xYGtrn9ywSArOry0Fu8_JDjnZISc75pSV9B_lJvh7F3b_1ZyOmpwIdsm9finFzVv6cCirRgDArAtpADJbfH_Hwtd7l6GxoTD7mA06tjcEQ5WlgjLbYOtycza5YFdPNkr-DJlymSg
CitedBy_id crossref_primary_10_1155_2022_1211602
crossref_primary_10_1166_jno_2022_3332
crossref_primary_10_48175_IJARSCT_12471
crossref_primary_10_1155_2022_8979404
crossref_primary_10_1111_jcmm_70497
crossref_primary_10_1155_2022_5198592
crossref_primary_10_3389_fpsyt_2023_1067753
crossref_primary_10_1155_2022_2180788
crossref_primary_10_1155_2022_5447347
crossref_primary_10_1109_ACCESS_2024_3436020
crossref_primary_10_1155_2022_1181030
crossref_primary_10_1155_2022_1116332
crossref_primary_10_1155_2022_5757719
crossref_primary_10_1155_2021_7323654
crossref_primary_10_1155_2022_4613931
crossref_primary_10_3233_JIFS_237041
crossref_primary_10_1155_2022_9339905
crossref_primary_10_1155_2022_4224749
crossref_primary_10_1155_2021_1690168
crossref_primary_10_1155_2022_4008941
crossref_primary_10_1155_2022_6051695
crossref_primary_10_1155_2022_8619690
crossref_primary_10_1155_2022_3046554
crossref_primary_10_1155_2022_4147365
crossref_primary_10_1155_2022_2286413
crossref_primary_10_1371_journal_pone_0285015
crossref_primary_10_3233_THC_248048
crossref_primary_10_1155_2023_9303688
crossref_primary_10_1155_2022_2291835
crossref_primary_10_1155_2021_7669449
crossref_primary_10_1155_2021_9610830
crossref_primary_10_1155_2021_2013303
crossref_primary_10_1155_2022_9956753
crossref_primary_10_1155_2022_6837395
crossref_primary_10_1155_2022_5232411
crossref_primary_10_1155_2022_3029528
crossref_primary_10_1155_2022_9991794
crossref_primary_10_1155_2022_1809186
crossref_primary_10_1155_2022_7516339
crossref_primary_10_1155_2022_5448332
crossref_primary_10_1155_2022_8981778
crossref_primary_10_1155_2022_4449696
crossref_primary_10_1109_ACCESS_2024_3405570
crossref_primary_10_18510_hssr_2023_11410
crossref_primary_10_1155_2022_3592145
crossref_primary_10_1155_2022_3464161
crossref_primary_10_1155_2021_3074167
crossref_primary_10_1155_2022_2311471
crossref_primary_10_1155_2022_1056910
crossref_primary_10_1155_2022_3546721
crossref_primary_10_1002_hsr2_1244
crossref_primary_10_1155_2022_4938587
crossref_primary_10_1155_2022_2182931
crossref_primary_10_1155_2022_7140673
crossref_primary_10_1155_2021_9880332
crossref_primary_10_1155_2022_2724842
crossref_primary_10_1155_2022_3127058
crossref_primary_10_1155_2022_9751620
crossref_primary_10_1155_2022_3315121
crossref_primary_10_1155_2022_5127989
crossref_primary_10_1155_2022_1968189
crossref_primary_10_1155_2022_1320893
crossref_primary_10_1155_2021_1353270
crossref_primary_10_1007_s12553_022_00691_6
crossref_primary_10_1109_ACCESS_2023_3325670
crossref_primary_10_1155_2022_6578274
crossref_primary_10_1155_2022_3318223
crossref_primary_10_1155_2022_8344791
crossref_primary_10_33769_aupse_1215962
crossref_primary_10_1155_2022_2214583
crossref_primary_10_1155_2021_9697962
crossref_primary_10_1155_2022_2259373
crossref_primary_10_1155_2022_5313238
crossref_primary_10_1155_2022_8158634
crossref_primary_10_1109_TCBB_2023_3252668
crossref_primary_10_1155_2022_9042954
crossref_primary_10_1155_2021_1917946
crossref_primary_10_1155_2022_5466173
crossref_primary_10_1155_2021_9935910
crossref_primary_10_1515_biol_2022_0725
crossref_primary_10_32604_cmes_2023_025484
crossref_primary_10_1049_wss2_12085
crossref_primary_10_3389_fphar_2023_1122778
crossref_primary_10_1155_2022_9415694
crossref_primary_10_1155_2022_4153211
crossref_primary_10_32604_csse_2022_022166
crossref_primary_10_1155_2021_7915729
crossref_primary_10_1155_2022_9057901
crossref_primary_10_48175_IJARSCT_22339
crossref_primary_10_1155_2021_3109061
crossref_primary_10_1155_2022_5070518
crossref_primary_10_3390_rs14061523
crossref_primary_10_1155_2022_3557994
crossref_primary_10_1155_2022_4147970
crossref_primary_10_1155_2022_8301746
crossref_primary_10_1155_2022_5083146
crossref_primary_10_1155_2022_6168528
crossref_primary_10_1155_2021_2437066
crossref_primary_10_1155_2022_6495568
crossref_primary_10_1155_2022_4243244
crossref_primary_10_1155_2022_4712797
crossref_primary_10_1016_j_procs_2025_01_025
crossref_primary_10_1155_2021_5268650
crossref_primary_10_1155_2022_6491084
crossref_primary_10_1155_2022_9107021
crossref_primary_10_32628_IJSRSET25121158
crossref_primary_10_1155_2022_4955555
crossref_primary_10_1155_2022_8952355
crossref_primary_10_1155_2022_6786966
crossref_primary_10_1155_2021_7126251
crossref_primary_10_1155_2022_4420717
crossref_primary_10_1155_2022_7399255
crossref_primary_10_32604_cmes_2022_020601
crossref_primary_10_33736_bjrst_4224_2022
crossref_primary_10_1155_2021_5879255
crossref_primary_10_1155_2022_1027735
crossref_primary_10_1155_2022_5707231
crossref_primary_10_1155_2022_1886406
crossref_primary_10_1515_biol_2022_0733
crossref_primary_10_1155_2021_6059060
crossref_primary_10_1155_2022_9540701
Cites_doi 10.1016/j.knosys.2019.105036
10.1109/ACCESS.2019.2912200
10.1186/s12911-020-01225-8
10.1038/s41569-020-0413-9
10.1038/s41598-020-64246-3
10.3390/biom10040524
10.22381/AJMR7120206
10.1109/ACCESS.2019.2905511
10.1016/j.cmpb.2019.105219
10.1109/ACCESS.2019.2939947
10.1101/2020.03.28.20046045
10.1016/j.neucom.2018.09.013
10.1093/database/baaa010
10.1186/s12911-020-1114-3
10.1109/RBME.2018.2864254
10.1109/ACCESS.2020.3010287
10.1109/ACCESS.2020.2982016
10.1109/MIS.2020.2988604
10.1109/ACCESS.2020.2992692
10.1109/ACCESS.2019.2919122
10.1016/j.cmpb.2019.06.023
10.1056/NEJMoa2001017
10.1038/s41551-018-0195-0
10.3322/caac.21590
10.1016/j.neucom.2018.12.018
10.1007/s11042-020-09607-w
10.1016/j.compmedimag.2019.01.005
10.1016/j.bspc.2020.102068
10.1109/TNNLS.2019.2921841
10.1109/JSEN.2021.3076767
10.1016/j.bspc.2020.101874
10.1109/COMST.2020.2988293
10.1007/s40846-020-00556-1
10.1007/s10103-020-03003-4
10.1155/2018/4302425
10.1089/tmj.2020.0201
10.1016/j.artmed.2019.101756
10.1109/JBHI.2017.2767063
10.3390/cancers12123532
10.1109/ACCESS.2020.3034217
10.1016/j.icte.2018.10.005
10.1016/j.vibspec.2020.103038
10.1117/1.JMI.6.4.043504
10.1007/978-3-319-58280-1_11
10.1016/j.idh.2018.10.002
10.1038/s41598-020-58467-9
10.1109/ACCESS.2020.3048309
10.1109/ACCESS.2019.2919068
10.1016/j.media.2019.101552
10.1007/s11042-019-08027-9
10.1145/3382769
10.1016/j.diabres.2018.02.023
10.1148/radiol.2018180958
10.1016/j.patrec.2019.11.020
10.1016/j.ccell.2020.09.014
10.1016/j.media.2021.101960
10.3390/app10020559
10.1109/TBDATA.2017.2717439
10.1038/s41598-018-34300-2
10.1093/nar/gky399
10.1109/MNET.011.2000458
10.1038/s41698-018-0075-9
10.1007/s12551-017-0255-9
10.1016/j.future.2020.04.036
10.1016/j.ijcce.2020.12.004
10.1016/j.cmpb.2019.06.016
10.1109/TNSRE.2018.2884641
10.1109/ACCESS.2020.2969482
10.1148/radiol.2018170575
10.1109/TEVC.2019.2895748
10.1016/j.patcog.2018.05.014
10.3389/fonc.2020.00423
10.1109/JTEHM.2017.2688458
10.1109/ACCESS.2020.2992584
10.1016/j.techsoc.2019.101198
10.1007/s11042-019-07839-z
10.5815/ijieeb.2019.02.03
10.1146/annurev-bioeng-071516-044442
10.1016/j.knosys.2019.105460
10.1109/ACCESS.2019.2923707
10.1016/j.inffus.2019.07.011
10.1007/s10586-019-02999-x
10.1109/MIS.2020.2988525
10.1155/2018/8954878
10.3390/ijerph15081596
10.1109/ACCESS.2019.2955382
10.1109/JIOT.2017.2772959
10.1109/LSENS.2019.2942145
10.1007/s00530-017-0561-x
10.1016/j.physd.2019.132306
10.1016/j.trecan.2019.02.002
10.1109/MWC.001.1900125
10.1093/bib/bbz171
10.1016/j.ejrad.2020.109041
10.1093/eurheartj/ehz859
10.3389/fmed.2019.00034
10.1109/ACCESS.2018.2890297
10.1016/j.patrec.2019.03.022
10.1016/S2589-7500(20)30288-0
10.1101/2020.01.21.914044
10.1016/j.measurement.2020.107757
10.1016/j.cell.2017.06.010
10.1016/j.artmed.2018.11.004
10.1038/s41591-018-0268-3
10.1038/s41591-019-0442-2
10.1109/TNSE.2020.3026637
10.1109/TMM.2016.2582379
10.3390/biom10101460
10.1109/TMI.2018.2863670
10.1109/JBHI.2018.2879381
10.1016/j.eswa.2020.113408
10.1080/03772063.2020.1713916
10.1016/j.cmpb.2019.02.005
10.3389/fnagi.2019.00220
10.1109/ACCESS.2020.2995310
10.1016/j.jhep.2017.09.016
10.1109/JBHI.2019.2908488
10.1109/TBME.2019.2912986
10.1109/JSYST.2015.2470644
10.1109/ACCESS.2020.2965955
10.1109/ACCESS.2018.2846685
10.1109/Access.6287639
10.1186/s13059-017-1215-1
10.3390/cancers12041024
10.1056/NEJMp1500523
10.1109/TNNLS.2020.3008938
10.1016/j.knosys.2020.106122
10.1109/JBHI.2018.2882885
10.1109/TIM.2021.3069021
10.1016/j.cogsys.2018.12.007
10.1002/adma.201705660
10.1109/TPAMI.2012.59
10.1038/s41571-018-0073-4
10.1200/JCO.2017.76.8770
10.1186/s12911-018-0719-2
10.1038/nrc.2016.126
10.1016/j.dsx.2020.03.013
10.1126/scitranslmed.aaw7745
10.1016/j.knosys.2020.105873
10.1016/j.gpb.2017.07.003
10.1145/3241056
10.1007/s10278-019-00227-x
10.1109/ACCESS.2019.2944862
10.1016/j.jneumeth.2019.05.006
10.1007/s11042-014-2123-y
10.1108/IJCS-01-2019-0002
10.1109/51.932724
ContentType Journal Article
Copyright 2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
7SC
7TB
8FD
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
COVID
DWQXO
FR3
JQ2
KR7
L7M
L~C
L~D
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
DOI 10.32604/cmes.2021.016728
DatabaseName CrossRef
Computer and Information Systems Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
Coronavirus Research Database
ProQuest Central Korea
Engineering Research Database
ProQuest Computer Science Collection
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
DatabaseTitle CrossRef
Publicly Available Content Database
Civil Engineering Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
Mechanical & Transportation Engineering Abstracts
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Coronavirus Research Database
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Central China
Computer and Information Systems Abstracts Professional
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Korea
Engineering Research Database
ProQuest Central (New)
ProQuest One Academic
Advanced Technologies Database with Aerospace
ProQuest One Academic (New)
DatabaseTitleList Publicly Available Content Database
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 1526-1506
EndPage 522
ExternalDocumentID 10_32604_cmes_2021_016728
tsp/cmes/2021/00000128/00000002/art00005
GroupedDBID -~X
AAFWJ
ACIWK
AFKRA
ALMA_UNASSIGNED_HOLDINGS
BENPR
CCPQU
EBS
EJD
F5P
IPNFZ
J9A
OK1
PIMPY
RTS
AAYXX
ADMLS
CITATION
PHGZM
PHGZT
7SC
7TB
8FD
ABUWG
AZQEC
COVID
DWQXO
FR3
JQ2
KR7
L7M
L~C
L~D
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c444t-b550ac0f55e85610c9d979de0ab38dde4f666592f637647867385f97f1070a013
IEDL.DBID BENPR
ISSN 1526-1492
1526-1506
IngestDate Sun Jun 29 16:28:18 EDT 2025
Tue Jul 01 03:43:16 EDT 2025
Thu Apr 24 22:53:53 EDT 2025
Thu Jan 27 13:04:34 EST 2022
Fri Nov 08 06:05:37 EST 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 2
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c444t-b550ac0f55e85610c9d979de0ab38dde4f666592f637647867385f97f1070a013
Notes 1526-1492(20210810)128:2L.489;1-
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://www.proquest.com/docview/2557142023?pq-origsite=%requestingapplication%
PQID 2557142023
PQPubID 2048798
PageCount 34
ParticipantIDs proquest_journals_2557142023
crossref_citationtrail_10_32604_cmes_2021_016728
ingenta_journals_tsp_cmes_2021_00000128_00000002_art00005
ingenta_journals_ic_tsp_15261492_v128n2_20210916_1412_default_tar_gz_s5
crossref_primary_10_32604_cmes_2021_016728
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2021-01-01
PublicationDateYYYYMMDD 2021-01-01
PublicationDate_xml – month: 01
  year: 2021
  text: 2021-01-01
  day: 01
PublicationDecade 2020
PublicationPlace Henderson
PublicationPlace_xml – name: Henderson
PublicationTitle Computer modeling in engineering & sciences
PublicationYear 2021
Publisher Tech Science Press
Publisher_xml – name: Tech Science Press
References Chen (ref170) 2020; 35
Lynn (ref20) 2019; 7
ref58
Fu (ref120) 2020
Zhu (ref47) 2020; 382
Cao (ref5) 2018; 16
ref52
Wu (ref59) 2020; 128
Tong (ref97) 2020; 20
ref55
Zhou (ref162) 2020; 8
Bansal (ref48) 2020; 14
Azarang (ref29) 2019; 7
Bing (ref34) 2019; 7
Wang (ref85) 2019; 333
Steuer (ref147) 2018; 36
Lu (ref78) 2018; 2018
Abdulsalam (ref61) 2020
Voroshnina (ref51) 2020
Lv (ref132) 2020
Regel (ref146) 2020; 12
Riederer (ref86) 2018; 288
Hong (ref39) 2019; 31
Huang (ref9) 2017
Kaur (ref41) 2020; 23(2)
Cui (ref87) 2019; 73
Qjidaa (ref53) 2020
Cheng (ref84) 2017; 10420
Khamparia (ref100) 2020; 80
Khan (ref102) 2020; 8
Siddiqi (ref13) 2019
Cui (ref21) 2018; 23
Jo (ref82) 2019; 11
Dienstmann (ref153) 2017; 17
Shen (ref135) 2017; 19
Lu (ref117) 2020; 107
Dayem Ullah (ref154) 2018; 46(W1)
ref7
Ali (ref77) 2020
Iizuka (ref101) 2020; 10
Zhou (ref33) 2019; 67
Jin (ref71) 2020; 203
Li (ref36) 2021; 2
Hesamian (ref134) 2019; 32
Zhu (ref119) 2020
Khamparia (ref127) 2020; 79
Chen (ref129) 2020; 8
Shi (ref75) 2020; 188
Kassani (ref10) 2019
Ji (ref83) 2012; 35
Chouhan (ref57) 2020; 10
Moore (ref159) 2020; 7
Zhang (ref143) 2018; 12
Choi (ref22) 2016
Chen (ref28) 2017; 1
Dua (ref43) 2020; 40
Jyoti (ref113) 2020
Wu (ref124) 2020; 200
Tebeje (ref155) 2020; 27
Shi (ref69) 2019; 171
Levine (ref137) 2019; 5
Mencattini (ref104) 2020; 10
Shickel (ref3) 2017; 22
Hu (ref46) 2018; 83
Harvey (ref160) 2020
Chowdhury (ref62) 2020; 8
Bhaskar (ref126) 2019; 3
Long (ref19) 2019; 7
Fan (ref50) 2018; 6
Zhang (ref30) 2019; 7
Nishiga (ref49) 2020; 17
Kuenzi (ref105) 2020; 38
Siegel (ref90) 2020; 70
Sharma (ref17) 2020
Hasin (ref95) 2017; 18
Mohan (ref168) 2019; 7
Fujiwara (ref142) 2018; 68
Khan (ref44) 2019; 125
Shi (ref64) 2020; 187
Hamamoto (ref148) 2020; 12
Asada (ref98) 2020; 10
Qin (ref25) 2018; 38
Chae (ref121) 2018; 15
Zhang (ref24) 2018; 27
Sherstinsky (ref18) 2020; 404
Cho (ref1) 2018; 138
Khare (ref12) 2020
Padmapritha (ref109) 2019
Tang (ref11) 2020; 8
Takahashi (ref99) 2020; 10
Yu (ref114) 2018; 8
Dubey (ref158) 2017
Wang (ref118) 2020; 35
Anandajayam (ref72) 2019
Dutta (ref67) 2020; 159
Timmis (ref63) 2020; 41
Hossain (ref60) 2020; 34
Liang (ref26) 2018; 6
Tsherniak (ref92) 2017; 170
Jin (ref76) 2020; 193
Perdomo (ref112) 2019; 178
Loomans-Kropp (ref145) 2019; 3(1)
Bisio (ref157) 2019; 26
Hannun (ref65) 2019; 25
Sun (ref4) 2018; 2018
Swapna (ref107) 2018; 4
Yang (ref38) 2019; 7
Frid-Adar (ref116) 2018; 321
Kim (ref27) 2020; 8
Wang (ref70) 2020; 58
Lyu (ref80) 2020; 8
Hossain (ref15) 2019; 15
Ayon (ref108) 2019; 11
Liu (ref169) 2020; 35
Wong (ref122) 2019; 24
Moody (ref68) 2001; 20
Banerjee (ref23) 2019; 97
Al-Fatlawi (ref42) 2016
de Anda-Jáuregui (ref94) 2020; 10
Hey (ref152) 2020; 12
Shrestha (ref6) 2019; 7
Al-Garadi (ref165) 2020; 22
Liang (ref56) 2020; 187
Yi (ref37) 2019; 58
Wang (ref167) 2019; 6
Tan (ref96) 2020; 20
Hossain (ref164) 2019; 25
Zhang (ref14) 2020; 102
Zhang (ref16) 2020; 54
Ahmed (ref88) 2015; 74
Hossain (ref156) 2017; 11
Panayides (ref144) 2018; 23
Pavithra (ref111) 2019
Llovet (ref139) 2018; 15
Talo (ref45) 2019; 54
Huang (ref35) 2020; 8
Navaneeth (ref125) 2020; 62
Afzal (ref138) 2020; 8
Alnazer (ref123) 2021; 69
Tiwari (ref91) 2020; 131
Ahmed (ref149) 2020; 2020
Yeh (ref32) 2017
Ding (ref81) 2019; 290
Fouad (ref163) 2020; 159
Ayon (ref66) 2020; 66
Li (ref89) 2019; 323
Kumar (ref133) 2021
Wang (ref141) 2018; 30
Collins (ref130) 2015; 372
Poplin (ref79) 2018; 2
Yang (ref136) 2016; 18
Li (ref110) 2019; 24
Steenman (ref2) 2017; 9
Wei (ref31) 2021; 9
Phankokkruad (ref54) 2020
Coccia (ref106) 2020; 60
Alloghani (ref166) 2020
Hossain (ref161) 2017; 5
Kuang (ref73) 2019; 3(1)
Jin (ref74) 2021; 70
Xiao (ref115) 2021; 3
Wang (ref40) 2019; 23
Baptista (ref103) 2021; 22
Le Tourneau (ref140) 2019; 25
Hulsen (ref150) 2019; 6
Prosperi (ref151) 2018; 18
Kaur (ref8) 2019
Sultan (ref93) 2019; 7
Ma (ref128) 2020; 111
Li (ref131) 2019; 78(24)
References_xml – volume: 188
  start-page: 105036
  year: 2020
  ident: ref75
  article-title: Automated heartbeat classification based on deep neural network with multiple input layers
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2019.105036
– volume: 7
  start-page: 53040
  year: 2019
  ident: ref6
  article-title: Review of deep learning algorithms and architectures
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2912200
– volume: 20
  start-page: 225
  year: 2020
  ident: ref97
  article-title: Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis
  publication-title: BMC Medical Informatics and Decision Making
  doi: 10.1186/s12911-020-01225-8
– start-page: 1
  year: 2020
  ident: ref113
  article-title: Prediction of hepatitis disease using effective deep neural network
– volume: 17
  start-page: 543
  year: 2020
  ident: ref49
  article-title: COVID-19 and cardiovascular disease: From basic mechanisms to clinical perspectives
  publication-title: Nature Review Cardiology
  doi: 10.1038/s41569-020-0413-9
– volume: 10
  start-page: 7653
  year: 2020
  ident: ref104
  publication-title: Scientific Reports
  doi: 10.1038/s41598-020-64246-3
– volume: 10
  start-page: 524
  year: 2020
  ident: ref98
  article-title: Uncovering prognosis-related genes and pathways by multi-omics analysis in lung cancer
  publication-title: Biomolecules
  doi: 10.3390/biom10040524
– volume: 7
  start-page: 41
  year: 2020
  ident: ref159
  article-title: Medical internet of things-based healthcare systems: Wearable sensor-based devices, patient-generated Big data, and real-time clinical monitoring
  publication-title: American Journal of Medical Research
  doi: 10.22381/AJMR7120206
– volume: 7
  start-page: 35673
  year: 2019
  ident: ref29
  article-title: Convolutional autoencoder-based multispectral image fusion
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2905511
– volume: 187
  start-page: 105219
  year: 2020
  ident: ref64
  article-title: An incremental learning system for atrial fibrillation detection based on transfer learning and active learning
  publication-title: Computer Methods and Programs in Biomedicine
  doi: 10.1016/j.cmpb.2019.105219
– volume: 7
  start-page: 145395
  year: 2019
  ident: ref20
  article-title: A deep bidirectional GRU network model for biometric electrocardiogram classification based on recurrent neural networks
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2939947
– year: 2020
  ident: ref120
  article-title: Deep learning-based recognizing covid-19 and other common infectious diseases of the lung by chest CT scan images
  publication-title: MedRxiv
  doi: 10.1101/2020.03.28.20046045
– volume: 321
  start-page: 321
  year: 2018
  ident: ref116
  article-title: GAN-Based synthetic medical image augmentation for increased CNN performance in liver lesion classification
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2018.09.013
– start-page: 1
  year: 2019
  ident: ref109
  article-title: Prediction of blood glucose level by using an LSTM based recurrent neural networks
– volume: 2020
  year: 2020
  ident: ref149
  article-title: Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
  publication-title: Database
  doi: 10.1093/database/baaa010
– volume: 20
  start-page: 1
  year: 2020
  ident: ref96
  article-title: A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction
  publication-title: BMC Medical Informatics and Decision Making
  doi: 10.1186/s12911-020-1114-3
– volume: 12
  start-page: 194
  year: 2018
  ident: ref143
  article-title: Learning for personalized medicine: A comprehensive review from a deep learning perspective
  publication-title: IEEE Reviews in Biomedical Engineering
  doi: 10.1109/RBME.2018.2864254
– volume: 8
  start-page: 132665
  year: 2020
  ident: ref62
  article-title: Can AI help in screening viral and COVID-19 pneumonia?
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3010287
– volume: 8
  start-page: 55145
  year: 2020
  ident: ref35
  article-title: MGMDcGAN: Medical image fusion using multi-generator multi-discriminator conditional generative adversarial network
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2982016
– start-page: 1
  year: 2019
  ident: ref10
  article-title: Diabetic retinopathy classification using a modified xception architecture
– volume: 35
  start-page: 83
  year: 2020
  ident: ref170
  article-title: Fedhealth: A federated transfer learning framework for wearable healthcare
  publication-title: IEEE Intelligent Systems
  doi: 10.1109/MIS.2020.2988604
– volume: 8
  start-page: 86510
  year: 2020
  ident: ref11
  article-title: Convolutional neural network in intelligent fault diagnosis toward rotatory machinery
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2992692
– volume: 7
  start-page: 69215
  year: 2019
  ident: ref93
  article-title: Multi-classification of brain tumor images using deep neural network
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2919122
– volume: 187
  start-page: 104964
  year: 2020
  ident: ref56
  article-title: A transfer learning method with deep residual network for pediatric pneumonia diagnosis
  publication-title: Computer Methods and Programs in Biomedicine
  doi: 10.1016/j.cmpb.2019.06.023
– volume: 382
  start-page: 727
  year: 2020
  ident: ref47
  article-title: A novel coronavirus from patients with pneumonia in China, 2019
  publication-title: New England Journal of Medicine
  doi: 10.1056/NEJMoa2001017
– volume: 2
  start-page: 158
  year: 2018
  ident: ref79
  article-title: Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
  publication-title: Nature Biomedical Engineering
  doi: 10.1038/s41551-018-0195-0
– volume: 70
  start-page: 7
  year: 2020
  ident: ref90
  article-title: Cancer statistics
  publication-title: CA: A Cancer Journal for Clinicians
  doi: 10.3322/caac.21590
– volume: 333
  start-page: 145
  year: 2019
  ident: ref85
  article-title: Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer's disease
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2018.12.018
– volume: 80
  start-page: 1
  year: 2020
  ident: ref100
  article-title: DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network
  publication-title: Multimedia Tools and Applications
  doi: 10.1007/s11042-020-09607-w
– volume: 73
  start-page: 1
  year: 2019
  ident: ref87
  article-title: RNN-Based longitudinal analysis for diagnosis of Alzheimer's disease
  publication-title: Computerized Medical Imaging and Graphics
  doi: 10.1016/j.compmedimag.2019.01.005
– volume: 62
  start-page: 102068
  year: 2020
  ident: ref125
  article-title: A dynamic pooling based convolutional neural network approach to detect chronic kidney disease
  publication-title: Biomedical Signal Processing and Control
  doi: 10.1016/j.bspc.2020.102068
– volume: 31
  start-page: 2325
  year: 2019
  ident: ref39
  article-title: Gane: A generative adversarial network embedding
  publication-title: IEEE Transactions on Neural Networks and Learning Systems
  doi: 10.1109/TNNLS.2019.2921841
– start-page: 1
  year: 2021
  ident: ref133
  article-title: Blockchain-federated-learning and deep learning models for COVID-19 detection using CT imaging
  publication-title: IEEE Sensors Journal
  doi: 10.1109/JSEN.2021.3076767
– volume: 58
  start-page: 101874
  year: 2020
  ident: ref70
  article-title: A high-precision arrhythmia classification method based on dual fully connected neural network
  publication-title: Biomedical Signal Processing and Control
  doi: 10.1016/j.bspc.2020.101874
– volume: 22
  start-page: 1646
  year: 2020
  ident: ref165
  article-title: A survey of machine and deep learning methods for internet of things (IoT) security
  publication-title: IEEE Communications Surveys & Tutorials
  doi: 10.1109/COMST.2020.2988293
– volume: 40
  start-page: 688
  year: 2020
  ident: ref43
  article-title: A CNN–RNN–LSTM based amalgamation for Alzheimer's disease detection
  publication-title: Journal of Medical and Biological Engineering
  doi: 10.1007/s40846-020-00556-1
– volume: 35
  start-page: 1791
  year: 2020
  ident: ref118
  article-title: Rapid screening of hepatitis B using Raman spectroscopy and long short-term memory neural network
  publication-title: Lasers in Medical Science
  doi: 10.1007/s10103-020-03003-4
– volume: 2018
  start-page: 9
  year: 2018
  ident: ref4
  article-title: Data processing and text mining technologies on electronic medical records: A review
  publication-title: Journal of Healthcare Engineering
  doi: 10.1155/2018/4302425
– start-page: 1
  year: 2019
  ident: ref72
  article-title: Coronary heart disease predictive decision scheme using big data and RNN
– volume: 27
  start-page: 150
  year: 2020
  ident: ref155
  article-title: Applications of e-health to support person-centered health care at the time of COVID-19 pandemic
  publication-title: Telemedicine and E-Health
  doi: 10.1089/tmj.2020.0201
– volume: 102
  start-page: 101756
  year: 2020
  ident: ref14
  article-title: Skin cancer diagnosis based on optimized convolutional neural network
  publication-title: Artificial Intelligence in Medicine
  doi: 10.1016/j.artmed.2019.101756
– start-page: 1
  year: 2020
  ident: ref53
  article-title: Development of a clinical decision support system for the early detection of COVID-19 using deep learning based on chest radiographic images
– volume: 22
  start-page: 1589
  year: 2017
  ident: ref3
  article-title: Deep EHR: A survey of recent advances in deep learning techniques for electronic health record (EHR) analysis
  publication-title: IEEE Journal of Biomedical and Health Informatics
  doi: 10.1109/JBHI.2017.2767063
– start-page: 301
  year: 2016
  ident: ref22
  article-title: Doctor ai: Predicting clinical events via recurrent neural networks
– volume: 12
  start-page: 3532
  year: 2020
  ident: ref148
  article-title: Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine
  publication-title: Cancers
  doi: 10.3390/cancers12123532
– volume: 8
  start-page: 197969
  year: 2020
  ident: ref102
  article-title: Stomachnet: Optimal deep learning features fusion for stomach abnormalities classification
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3034217
– volume: 4
  start-page: 243
  year: 2018
  ident: ref107
  article-title: Diabetes detection using deep learning algorithms
  publication-title: ICT Express
  doi: 10.1016/j.icte.2018.10.005
– volume: 107
  start-page: 103038
  year: 2020
  ident: ref117
  article-title: Diagnosis of hepatitis B based on Raman spectroscopy combined with a multiscale convolutional neural network
  publication-title: Vibrational Spectroscopy
  doi: 10.1016/j.vibspec.2020.103038
– volume: 6
  start-page: 043504
  year: 2019
  ident: ref167
  article-title: Deep learning-based image quality improvement for low-dose computed tomography simulation in radiation therapy
  publication-title: Journal of Medical Imaging
  doi: 10.1117/1.JMI.6.4.043504
– start-page: 281
  year: 2017
  ident: ref158
  publication-title: Handbook of Large-Scale Distributed Computing in Smart Healthcare
  doi: 10.1007/978-3-319-58280-1_11
– ident: ref58
– volume: 24
  start-page: 44
  year: 2019
  ident: ref122
  article-title: Artificial intelligence for infectious disease big data analytics
  publication-title: Infection, Disease & Health
  doi: 10.1016/j.idh.2018.10.002
– start-page: 64
  year: 2019
  ident: ref13
  article-title: Automated pneumonia diagnosis using a customized sequential convolutional neural network
– volume: 10
  start-page: 1
  year: 2020
  ident: ref101
  article-title: Deep learning models for histopathological classification of gastric and colonic epithelial tumours
  publication-title: Scientific Reports
  doi: 10.1038/s41598-020-58467-9
– volume: 9
  start-page: 4939
  year: 2021
  ident: ref31
  article-title: Recent advances in variational autoencoders with representation learning for biomedical informatics: A survey
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3048309
– volume: 7
  start-page: 70634
  year: 2019
  ident: ref30
  article-title: Automated detection and localization of myocardial infarction with staked sparse autoencoder and treebagger
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2919068
– volume: 58
  start-page: 101552
  year: 2019
  ident: ref37
  article-title: Generative adversarial network in medical imaging: A review
  publication-title: Medical Image Analysis
  doi: 10.1016/j.media.2019.101552
– volume: 78(24)
  start-page: 34459
  year: 2019
  ident: ref131
  article-title: Improving performance of medical image fusion using histogram, dictionary learning and sparse representation
  publication-title: Multimedia Tools and Applications
  doi: 10.1007/s11042-019-08027-9
– start-page: 1
  year: 2020
  ident: ref132
  article-title: The security of medical data on internet based on differential privacy technology
  publication-title: ACM Transactions on Internet Technology (TOIT)
  doi: 10.1145/3382769
– volume: 138
  start-page: 271
  year: 2018
  ident: ref1
  article-title: IDF diabetes atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
  publication-title: Diabetes Research and Clinical Practice
  doi: 10.1016/j.diabres.2018.02.023
– volume: 290
  start-page: 456
  year: 2019
  ident: ref81
  article-title: A deep learning model to predict a diagnosis of Alzheimer disease by using 18F-fDG PET of the brain
  publication-title: Radiology
  doi: 10.1148/radiol.2018180958
– volume: 131
  start-page: 244
  year: 2020
  ident: ref91
  article-title: Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019
  publication-title: Pattern Recognition Letters
  doi: 10.1016/j.patrec.2019.11.020
– volume: 38
  start-page: 672
  year: 2020
  ident: ref105
  article-title: Predicting drug response and synergy using a deep learning model of human cancer cells
  publication-title: Cancer Cell
  doi: 10.1016/j.ccell.2020.09.014
– volume: 69
  start-page: 101960
  year: 2021
  ident: ref123
  article-title: Recent advances in medical image processing for the evaluation of chronic kidney disease
  publication-title: Medical Image Analysis
  doi: 10.1016/j.media.2021.101960
– start-page: 113
  year: 2020
  ident: ref166
  publication-title: Nature-Inspired Computation in Data Mining and Machine Learning
– volume: 10
  start-page: 559
  year: 2020
  ident: ref57
  article-title: A novel transfer learning based approach for pneumonia detection in chest X-ray images
  publication-title: Applied Sciences
  doi: 10.3390/app10020559
– ident: ref55
– volume: 1
  start-page: 1
  year: 2017
  ident: ref28
  article-title: Deep features learning for medical image analysis with convolutional autoencoder neural network
  publication-title: IEEE Transactions on Big Data
  doi: 10.1109/TBDATA.2017.2717439
– volume: 8
  start-page: 16016
  year: 2018
  ident: ref114
  article-title: Deep learning enables automated scoring of liver fibrosis stages
  publication-title: Scientific Reports
  doi: 10.1038/s41598-018-34300-2
– volume: 46(W1)
  start-page: W109
  year: 2018
  ident: ref154
  article-title: SNPnexus: Assessing the functional relevance of genetic variation to facilitate the promise of precision medicine
  publication-title: Nucleic Acids Research
  doi: 10.1093/nar/gky399
– volume: 34
  start-page: 126
  year: 2020
  ident: ref60
  article-title: Explainable AI and mass surveillance system-based healthcare framework to combat COVID-19 like pandemics
  publication-title: IEEE Network
  doi: 10.1109/MNET.011.2000458
– volume: 3(1)
  start-page: 1
  year: 2019
  ident: ref145
  article-title: Cancer prevention and screening: The next step in the era of precision medicine
  publication-title: NPJ Precision Oncology
  doi: 10.1038/s41698-018-0075-9
– volume: 9
  start-page: 131
  year: 2017
  ident: ref2
  article-title: Cardiac aging and heart disease in humans
  publication-title: Biophysical Reviews
  doi: 10.1007/s12551-017-0255-9
– volume: 111
  start-page: 17
  year: 2020
  ident: ref128
  article-title: Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network
  publication-title: Future Generation Computer Systems
  doi: 10.1016/j.future.2020.04.036
– volume: 2
  start-page: 21
  year: 2021
  ident: ref36
  article-title: Medical image fusion method by deep learning
  publication-title: International Journal of Cognitive Computing in Engineering
  doi: 10.1016/j.ijcce.2020.12.004
– volume: 178
  start-page: 181
  year: 2019
  ident: ref112
  article-title: Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
  publication-title: Computer Methods and Programs in Biomedicine
  doi: 10.1016/j.cmpb.2019.06.016
– volume: 27
  start-page: 31
  year: 2018
  ident: ref24
  article-title: Learning spatial–spectral–temporal EEG features with recurrent 3D convolutional neural networks for cross-task mental workload assessment
  publication-title: IEEE Transactions on Neural Systems and Rehabilitation Engineering
  doi: 10.1109/TNSRE.2018.2884641
– start-page: 5485
  year: 2017
  ident: ref32
  article-title: Semantic image inpainting with deep generative models
– volume: 8
  start-page: 20977
  year: 2020
  ident: ref80
  article-title: Cloud-based smart dog music therapy and pneumonia detection system for reducing the difficulty of caring for patients with dementia
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2969482
– start-page: 147
  year: 2020
  ident: ref54
  article-title: COVID-19 pneumonia detection in chest X-ray images using transfer learning of convolutional neural networks
– volume: 288
  start-page: 198
  year: 2018
  ident: ref86
  article-title: Alzheimer disease and mild cognitive impairment: Integrated pulsed arterial spin-labeling MRI and 18F-fDG PET
  publication-title: Radiology
  doi: 10.1148/radiol.2018170575
– volume: 23
  start-page: 921
  year: 2019
  ident: ref40
  article-title: Evolutionary generative adversarial networks
  publication-title: IEEE Transactions on Evolutionary Computation
  doi: 10.1109/TEVC.2019.2895748
– ident: ref52
– volume: 83
  start-page: 134
  year: 2018
  ident: ref46
  article-title: Deep learning for image-based cancer detection and diagnosis−A survey
  publication-title: Pattern Recognition
  doi: 10.1016/j.patcog.2018.05.014
– volume: 10
  start-page: 423
  year: 2020
  ident: ref94
  article-title: Computational oncology in the multi-omics era: State of the art
  publication-title: Frontiers in Oncology
  doi: 10.3389/fonc.2020.00423
– volume: 6
  start-page: 1
  year: 2018
  ident: ref50
  article-title: Effectively measuring respiratory flow with portable pressure data using back propagation neural network
  publication-title: IEEE Journal of Translational Engineering in Health and Medicine
  doi: 10.1109/JTEHM.2017.2688458
– volume: 8
  start-page: 86411
  year: 2020
  ident: ref162
  article-title: Human activity recognition based on improved Bayesian convolution network to analyze health care data using wearable IoT device
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2992584
– volume: 60
  start-page: 101198
  year: 2020
  ident: ref106
  article-title: Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence
  publication-title: Technology in Society
  doi: 10.1016/j.techsoc.2019.101198
– volume: 79
  start-page: 35425
  year: 2020
  ident: ref127
  article-title: KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network
  publication-title: Multimed. Tools Appl.
  doi: 10.1007/s11042-019-07839-z
– volume: 11
  start-page: 21
  year: 2019
  ident: ref108
  article-title: Diabetes prediction: A deep learning approach
  publication-title: International Journal of Information Engineering & Electronic Business
  doi: 10.5815/ijieeb.2019.02.03
– volume: 19
  start-page: 221
  year: 2017
  ident: ref135
  article-title: Deep learning in medical image analysis
  publication-title: Annual Review of Biomedical Engineering
  doi: 10.1146/annurev-bioeng-071516-044442
– start-page: 1
  year: 2020
  ident: ref51
  article-title: Neural network approach for prediction of pneumonia
– volume: 193
  start-page: 105460
  year: 2020
  ident: ref76
  article-title: Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2019.105460
– volume: 7
  start-page: 81542
  year: 2019
  ident: ref168
  article-title: Effective heart disease prediction using hybrid machine learning techniques
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2923707
– start-page: 4700
  year: 2017
  ident: ref9
  article-title: Densely connected convolutional networks
– volume: 54
  start-page: 99
  year: 2020
  ident: ref16
  article-title: IFCNN: A general image fusion framework based on convolutional neural network
  publication-title: Information Fusion
  doi: 10.1016/j.inffus.2019.07.011
– volume: 23(2)
  start-page: 1439
  year: 2020
  ident: ref41
  article-title: Fusion of medical images using deep belief networks
  publication-title: Cluster Computing
  doi: 10.1007/s10586-019-02999-x
– start-page: 1
  year: 2020
  ident: ref160
  article-title: Security and privacy of medical internet of things devices for smart homes
– volume: 35
  start-page: 70
  year: 2020
  ident: ref169
  article-title: A secure federated transfer learning framework
  publication-title: IEEE Intelligent Systems
  doi: 10.1109/MIS.2020.2988525
– volume: 2018
  start-page: 1
  year: 2018
  ident: ref78
  article-title: Research on improved depth belief network-based prediction of cardiovascular diseases
  publication-title: Journal of Healthcare Engineering
  doi: 10.1155/2018/8954878
– volume: 15
  start-page: 1596
  year: 2018
  ident: ref121
  article-title: Predicting infectious disease using deep learning and big data
  publication-title: International Journal of Environmental Research and Public Health
  doi: 10.3390/ijerph15081596
– volume: 7
  start-page: 175947
  year: 2019
  ident: ref38
  article-title: Multi-source medical image fusion based on wasserstein generative adversarial networks
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2955382
– volume: 5
  start-page: 2399
  year: 2017
  ident: ref161
  article-title: Emotion-aware connected healthcare big data towards 5G
  publication-title: IEEE Internet of Things Journal
  doi: 10.1109/JIOT.2017.2772959
– volume: 3
  start-page: 1
  year: 2019
  ident: ref126
  article-title: A deep-learning-based system for automated sensing of chronic kidney disease
  publication-title: IEEE Sensors Letters
  doi: 10.1109/LSENS.2019.2942145
– volume: 25
  start-page: 565
  year: 2019
  ident: ref164
  article-title: Smart healthcare monitoring: A voice pathology detection paradigm for smart cities
  publication-title: Multimedia Systems
  doi: 10.1007/s00530-017-0561-x
– volume: 404
  start-page: 132306
  year: 2020
  ident: ref18
  article-title: Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network
  publication-title: Physica D: Nonlinear Phenomena
  doi: 10.1016/j.physd.2019.132306
– volume: 5
  start-page: 157
  year: 2019
  ident: ref137
  article-title: Rise of the machines: Advances in deep learning for cancer diagnosis
  publication-title: Trends in Cancer
  doi: 10.1016/j.trecan.2019.02.002
– start-page: 1324
  year: 2016
  ident: ref42
  article-title: Efficient diagnosis system for Parkinson's disease using deep belief network
– volume: 26
  start-page: 24
  year: 2019
  ident: ref157
  article-title: When eHealth meets IoT: A smart wireless system for post-stroke home rehabilitation
  publication-title: IEEE Wireless Communications
  doi: 10.1109/MWC.001.1900125
– volume: 22
  start-page: 360
  year: 2021
  ident: ref103
  article-title: Deep learning for drug response prediction in cancer
  publication-title: Briefings in Bioinformatics
  doi: 10.1093/bib/bbz171
– volume: 128
  start-page: 109041
  year: 2020
  ident: ref59
  article-title: Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
  publication-title: European Journal of Radiology
  doi: 10.1016/j.ejrad.2020.109041
– volume: 41
  start-page: 12
  year: 2020
  ident: ref63
  article-title: European society of cardiology: Cardiovascular disease statistics 2019
  publication-title: European Heart Journal
  doi: 10.1093/eurheartj/ehz859
– volume: 6
  start-page: 34
  year: 2019
  ident: ref150
  article-title: From big data to precision medicine
  publication-title: Frontiers in Medicine
  doi: 10.3389/fmed.2019.00034
– volume: 7
  start-page: 12511
  year: 2019
  ident: ref19
  article-title: Recurrent neural networks with finite memory length
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2890297
– volume: 125
  start-page: 1
  year: 2019
  ident: ref44
  article-title: A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
  publication-title: Pattern Recognition Letters
  doi: 10.1016/j.patrec.2019.03.022
– volume: 3
  start-page: e88
  year: 2021
  ident: ref115
  article-title: Screening and identifying hepatobiliary diseases through deep learning using ocular images: A prospective, multicentre study
  publication-title: The Lancet Digital Health
  doi: 10.1016/S2589-7500(20)30288-0
– year: 2020
  ident: ref119
  article-title: Host and infectivity prediction of wuhan 2019 novel coronavirus using deep learning algorithm
  publication-title: BioRxiv
  doi: 10.1101/2020.01.21.914044
– volume: 159
  start-page: 107757
  year: 2020
  ident: ref163
  article-title: Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction
  publication-title: Measurement
  doi: 10.1016/j.measurement.2020.107757
– volume: 170
  start-page: 564
  year: 2017
  ident: ref92
  article-title: Defining a cancer dependency map
  publication-title: Cell
  doi: 10.1016/j.cell.2017.06.010
– volume: 97
  start-page: 79
  year: 2019
  ident: ref23
  article-title: Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
  publication-title: Artificial Intelligence in Medicine
  doi: 10.1016/j.artmed.2018.11.004
– volume: 25
  start-page: 65
  year: 2019
  ident: ref65
  article-title: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
  publication-title: Nature Medicine
  doi: 10.1038/s41591-018-0268-3
– volume: 25
  start-page: 711
  year: 2019
  ident: ref140
  article-title: Molecular profiling in precision medicine oncology
  publication-title: Nature Medicine
  doi: 10.1038/s41591-019-0442-2
– start-page: 1
  year: 2020
  ident: ref61
  article-title: COVID-19 networking demand: An auction-based mechanism for automated selection of edge computing services
  publication-title: IEEE Transactions on Network Science and Engineering
  doi: 10.1109/TNSE.2020.3026637
– volume: 18
  start-page: 1832
  year: 2016
  ident: ref136
  article-title: Deep relative attributes
  publication-title: IEEE Transactions on Multimedia
  doi: 10.1109/TMM.2016.2582379
– volume: 10
  start-page: 1460
  year: 2020
  ident: ref99
  article-title: Predicting deep learning based multi-omics parallel integration survival subtypes in lung cancer using reverse phase protein array data
  publication-title: Biomolecules
  doi: 10.3390/biom10101460
– volume: 38
  start-page: 280
  year: 2018
  ident: ref25
  article-title: Convolutional recurrent neural networks for dynamic MR image reconstruction
  publication-title: IEEE Transactions on Medical Imaging
  doi: 10.1109/TMI.2018.2863670
– volume: 23
  start-page: 2063
  year: 2018
  ident: ref144
  article-title: Radiogenomics for precision medicine with a big data analytics perspective
  publication-title: IEEE Journal of Biomedical and Health Informatics
  doi: 10.1109/JBHI.2018.2879381
– volume: 159
  start-page: 113408
  year: 2020
  ident: ref67
  article-title: An efficient convolutional neural network for coronary heart disease prediction
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2020.113408
– volume: 66
  start-page: 1
  year: 2020
  ident: ref66
  article-title: Coronary artery heart disease prediction: A comparative study of computational intelligence techniques
  publication-title: IETE Journal of Research
  doi: 10.1080/03772063.2020.1713916
– volume: 171
  start-page: 1
  year: 2019
  ident: ref69
  article-title: A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification
  publication-title: Computer Methods and Programs in Biomedicine
  doi: 10.1016/j.cmpb.2019.02.005
– ident: ref7
– volume: 11
  start-page: 220
  year: 2019
  ident: ref82
  article-title: Deep learning in Alzheimer's disease: Diagnostic classification and prognostic prediction using neuroimaging data
  publication-title: Frontiers in Aging Neuroscience
  doi: 10.3389/fnagi.2019.00220
– volume: 8
  start-page: 100497
  year: 2020
  ident: ref129
  article-title: Prediction of chronic kidney disease using adaptive hybridized deep convolutional neural network on the internet of medical things platform
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2995310
– volume: 68
  start-page: 526
  year: 2018
  ident: ref142
  article-title: Risk factors and prevention of hepatocellular carcinoma in the era of precision medicine
  publication-title: Journal of Hepatology
  doi: 10.1016/j.jhep.2017.09.016
– volume: 24
  start-page: 603
  year: 2019
  ident: ref110
  article-title: Convolutional recurrent neural networks for glucose prediction
  publication-title: IEEE Journal of Biomedical and Health Informatics
  doi: 10.1109/JBHI.2019.2908488
– volume: 67
  start-page: 298
  year: 2019
  ident: ref33
  article-title: Image quality improvement of hand-held ultrasound devices with a two-stage generative adversarial network
  publication-title: IEEE Transactions on Biomedical Engineering
  doi: 10.1109/TBME.2019.2912986
– volume: 11
  start-page: 118
  year: 2017
  ident: ref156
  article-title: Cloud-supported cyber–Physical localization framework for patients monitoring
  publication-title: IEEE Systems Journal
  doi: 10.1109/JSYST.2015.2470644
– volume: 8
  start-page: 13593
  year: 2020
  ident: ref138
  article-title: Precision medicine informatics: Principles, prospects, and challenges
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2965955
– volume: 6
  start-page: 36188
  year: 2018
  ident: ref26
  article-title: Combining convolutional neural network with recursive neural network for blood cell image classification
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2846685
– volume: 8
  start-page: 104933
  year: 2020
  ident: ref27
  article-title: Multi-modal stacked denoising autoencoder for handling missing data in healthcare big data
  publication-title: IEEE Access
  doi: 10.1109/Access.6287639
– volume: 18
  start-page: 83
  year: 2017
  ident: ref95
  article-title: Multi-omics approaches to disease
  publication-title: Genome Biol
  doi: 10.1186/s13059-017-1215-1
– volume: 12
  start-page: 1024
  year: 2020
  ident: ref146
  article-title: Current strategies and future perspectives for precision medicine in pancreatic cancer
  publication-title: Cancers
  doi: 10.3390/cancers12041024
– volume: 372
  start-page: 793
  year: 2015
  ident: ref130
  article-title: A new initiative on precision medicine
  publication-title: New England Journal of Medicine
  doi: 10.1056/NEJMp1500523
– start-page: 1
  year: 2020
  ident: ref12
  article-title: Time-frequency representation and convolutional neural network-based emotion recognition
  publication-title: IEEE Transactions on Neural Networks and Learning Systems
  doi: 10.1109/TNNLS.2020.3008938
– volume: 203
  start-page: 106122
  year: 2020
  ident: ref71
  article-title: A novel domain adaptive residual network for automatic atrial fibrillation detection
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2020.106122
– volume: 23
  start-page: 2515
  year: 2018
  ident: ref21
  article-title: Identifying brain networks at multiple time scales via deep recurrent neural network
  publication-title: IEEE Journal of Biomedical and Health Informatics
  doi: 10.1109/JBHI.2018.2882885
– volume: 70
  start-page: 1
  year: 2021
  ident: ref74
  article-title: A novel incremental and interactive method for actual heartbeat classification with limited additional labeled samples
  publication-title: IEEE Transactions on Instrumentation and Measurement
  doi: 10.1109/TIM.2021.3069021
– volume: 54
  start-page: 176
  year: 2019
  ident: ref45
  article-title: Application of deep transfer learning for automated brain abnormality classification using MR images
  publication-title: Cognitive Systems Research
  doi: 10.1016/j.cogsys.2018.12.007
– volume: 30
  start-page: 1705660
  year: 2018
  ident: ref141
  article-title: Nanomaterials for cancer precision medicine
  publication-title: Advanced Materials
  doi: 10.1002/adma.201705660
– start-page: 145
  year: 2020
  ident: ref77
  article-title: Heart diseases diagnosis based on a novel convolution neural network and gate recurrent unit technique
– volume: 35
  start-page: 221
  year: 2012
  ident: ref83
  article-title: 3D convolutional neural networks for human action recognition
  publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence
  doi: 10.1109/TPAMI.2012.59
– volume: 15
  start-page: 599
  year: 2018
  ident: ref139
  article-title: Molecular therapies and precision medicine for hepatocellular carcinoma
  publication-title: Nature Reviews Clinical Oncology
  doi: 10.1038/s41571-018-0073-4
– volume: 36
  start-page: 631
  year: 2018
  ident: ref147
  article-title: Tumor mutation burden: Leading immunotherapy to the era of precision medicine
  publication-title: J. Clin. Oncol.
  doi: 10.1200/JCO.2017.76.8770
– volume: 18
  start-page: 139
  year: 2018
  ident: ref151
  article-title: Big data hurdles in precision medicine and precision public health
  publication-title: BMC Medical Informatics and Decision Making
  doi: 10.1186/s12911-018-0719-2
– volume: 17
  start-page: 79
  year: 2017
  ident: ref153
  article-title: Consensus molecular subtypes and the evolution of precision medicine in colorectal cancer
  publication-title: Nature Reviews Cancer
  doi: 10.1038/nrc.2016.126
– volume: 14
  start-page: 247
  year: 2020
  ident: ref48
  article-title: Cardiovascular disease and COVID-19
  publication-title: Diabetes & Metabolic Syndrome: Clinical Research & Reviews
  doi: 10.1016/j.dsx.2020.03.013
– volume: 12
  start-page: 540
  year: 2020
  ident: ref152
  article-title: The evidence landscape in precision medicine
  publication-title: Science Translational Medicine
  doi: 10.1126/scitranslmed.aaw7745
– volume: 200
  start-page: 105873
  year: 2020
  ident: ref124
  article-title: Automated detection of kidney abnormalities using multi-feature fusion convolutional neural networks
  publication-title: Knowledge-Based Systems
  doi: 10.1016/j.knosys.2020.105873
– start-page: 227
  year: 2020
  ident: ref17
  article-title: Feature extraction and classification of chest X-ray images using cnn to detect pneumonia
– volume: 10420
  start-page: 1042042
  year: 2017
  ident: ref84
  article-title: Classification of MR brain images by combination of multi-cNNs for AD diagnosis
– volume: 16
  start-page: 17
  year: 2018
  ident: ref5
  article-title: Deep learning and its applications in biomedicine
  publication-title: Genomics, Proteomics & Bioinformatics
  doi: 10.1016/j.gpb.2017.07.003
– start-page: 94
  year: 2019
  ident: ref8
  article-title: Automated brain image classification based on VGG-16 and transfer learning
– volume: 15
  start-page: 1
  year: 2019
  ident: ref15
  publication-title: Communications, and Applications (TOMM)
  doi: 10.1145/3241056
– volume: 32
  start-page: 582
  year: 2019
  ident: ref134
  article-title: Deep learning techniques for medical image segmentation: Achievements and challenges
  publication-title: Journal of Digital Imaging
  doi: 10.1007/s10278-019-00227-x
– volume: 7
  start-page: 145030
  year: 2019
  ident: ref34
  article-title: Medical image super resolution using improved generative adversarial networks
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2944862
– volume: 323
  start-page: 108
  year: 2019
  ident: ref89
  article-title: A hybrid convolutional and recurrent neural network for hippocampus analysis in Alzheimer's disease
  publication-title: Journal of Neuroscience Methods
  doi: 10.1016/j.jneumeth.2019.05.006
– volume: 74
  start-page: 1249
  year: 2015
  ident: ref88
  article-title: Classification of Alzheimer's disease subjects from MRI using hippocampal visual features
  publication-title: Multimedia Tools and Applications
  doi: 10.1007/s11042-014-2123-y
– volume: 3(1)
  start-page: 14
  year: 2019
  ident: ref73
  article-title: Dynamic prediction of cardiovascular disease using improved LSTM
  publication-title: International Journal of Crowd Science
  doi: 10.1108/IJCS-01-2019-0002
– volume: 20
  start-page: 45
  year: 2001
  ident: ref68
  article-title: The impact of the MIT-bIH arrhythmia database
  publication-title: IEEE Engineering in Medicine and Biology Magazine
  doi: 10.1109/51.932724
– start-page: 840
  year: 2019
  ident: ref111
  article-title: GRU based deep learning model for prognosis prediction of disease progression
SSID ssj0036389
Score 2.6157682
SecondaryResourceType review_article
Snippet In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI's research in the medical field have allowed people to see the...
In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI’s research in the medical field have allowed people to see the...
SourceID proquest
crossref
ingenta
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 489
SubjectTerms Artificial intelligence
Covid-19
Deep Learning
Disease
Disease Prediction
Feature extraction
Internet Of Things
Machine learning
Medical research
Model accuracy
Precision Medicine
Regression models
Title Multi-Disease Prediction Based on Deep Learning: A Survey
URI https://www.ingentaconnect.com/content/tsp/cmes/2021/00000128/00000002/art00005
https://www.proquest.com/docview/2557142023
Volume 128
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8QwEA66Xrz4FtcXOXgS6rZp2iZexMeqCC7iA7yFJk0WQdd1twr6651pU3dF8JbSTgrfJJOZTDIfIXuZtTrPExEYLNzKLfhwGoZxgNzG2tjU5RovCl_30ssHfvWYPPoNt7E_VtnYxMpQF68G98g74PpmEUey76PhW4CsUZhd9RQas2QOTLAQLTJ30u3d3Da2OMb1uKqYytIAYgFW5zXBZQl5x7xYrNfNogM8io907FMr0--rTVMmulp3zpfIgncY6XGt4WUyYwcrZLEhY6B-bq4SWV2lDc7qhAu9GWEGBlGnJ_BcUGicWTukvqBq_5Ae07v30Yf9XCMP593708vA8yIEhnNeBhqiityELkmsQPfHyEJmsrBhrmMB5oo7iEkSyVwK1oNnAok9EyczB6FemIPPt05ag9eB3SA0ZpmJpSgizSzXEddFUmRI8xI6l8WpbJOwwUQZXzQcuSueFQQPFYwKYVQIo6phbJP9H5FhXTHjv48vPNDKz52xejKqHA8V6gxVBmE8EwNWSYFzk0KwEjFVWJcDrKrMR6r_pcZJm8g_PWE3U3-sMhlM1A1YCRRMTmyA7Haj5InwZMBt_v96i8xj__W-zDZplaN3uwOeSql3_XD8Bj9G4dA
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6F9AAXnkWkBNgDvVRya6_Xj0VCqCUpKW2jqrRSb1vvejdCoklInKDyo_iNzPhBgyr11tta9q6lmdmZbzze-QDeJ9bqLItSz1DjVmERw2k0Y4-4jbWxscs0HRQ-HsaDc_H1IrpowZ_mLAz9Vtn4xNJR5xND38h3EPomgSCy70_Tnx6xRlF1taHQqMzi0F7_wpRt_vGgh_rd5Hy_f_Z54NWsAp4RQhSeRkyeGd9FkU0JPBiZy0Tm1s90mOJmFw4RfSS5i3HviSQlWszIycRhouRniJhw3QewJsLY521Y2-sPT04b3x9S_C87tPLYw9yDV3VUhEi-2DFXlvqD82Cbfv0n-veVSPj_UaqVkFDGuf2n8LgGqGy3sqhn0LLj5_CkIX9gtS94AbI8uuv1qgIPO5lRxYe0zPbwOmc46Fk7ZXUD19EHtsu-LWZLe70O5_cisZfQHk_G9hWwkCcmlGkeaG6FDoTOozwhWhnfuSSMZQf8RibK1E3KiSvjh8JkpRSjIjEqEqOqxNiBrX9TplWHjrse_lILWtV7da6-G1XMp4p0RipTSwzZY17OQjAVY3IUcJVbl6FYVZHN1Oi3mkcdkLdWomVW3lhWTnhaDTDyKHQGNMC53UbJN5NvDHzj7tvv4OHg7PhIHR0MD1_DI3pX9U2oC-1itrBvECUV-m1tmgwu73s3_AVvXxzg
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=Multi-Disease+Prediction+Based+on+Deep+Learning%3A+A+Survey&rft.jtitle=Computer+modeling+in+engineering+%26+sciences&rft.au=Xie%2C+Shuxuan&rft.au=Yu%2C+Zengchen&rft.au=Lv%2C+Zhihan&rft.date=2021-01-01&rft.issn=1526-1506&rft.volume=128&rft.issue=2&rft.spage=489&rft.epage=522&rft_id=info:doi/10.32604%2Fcmes.2021.016728&rft.externalDBID=n%2Fa&rft.externalDocID=10_32604_cmes_2021_016728
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1526-1492&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1526-1492&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1526-1492&client=summon