An efficient context-aware screening system for Alzheimer's disease based on neuropsychology test
Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor, Mild Cognitive Impairment (MCI), is crucial to alleviate the burden on the healthcare system. While most of the existing work in the li...
Saved in:
| Published in | Scientific reports Vol. 11; no. 1; pp. 18570 - 13 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
17.09.2021
Nature Publishing Group Nature Portfolio |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor, Mild Cognitive Impairment (MCI), is crucial to alleviate the burden on the healthcare system. While most of the existing work in the literature applied neural networks directly together with several data pre-processing techniques, we proposed in this paper a screening system that is to perform classification based on automatic processing of the transcripts of speeches from the subjects undertaking a neuropsychological test. Our system is also shown applicable to different datasets and languages, suggesting that our system holds a high potential to be deployed widely in hospitals across regions. We conducted comprehensive experiments on two different languages datasets, the Pitt dataset and the NTUHV dataset, to validate our study. The results showed that our proposed system significantly outperformed the previous works on both datasets, with the score of the area under the receiver operating characteristic curve (AUROC) of classifying AD and healthy control (HC) being as high as 0.92 on the Pitt dataset and 0.97 on the NTUHV dataset. The performance on classifying MCI and HC remained promising, with the AUROC being 0.83 on the Pitt dataset and 0.88 on the NTUHV dataset. |
|---|---|
| AbstractList | Abstract Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor, Mild Cognitive Impairment (MCI), is crucial to alleviate the burden on the healthcare system. While most of the existing work in the literature applied neural networks directly together with several data pre-processing techniques, we proposed in this paper a screening system that is to perform classification based on automatic processing of the transcripts of speeches from the subjects undertaking a neuropsychological test. Our system is also shown applicable to different datasets and languages, suggesting that our system holds a high potential to be deployed widely in hospitals across regions. We conducted comprehensive experiments on two different languages datasets, the Pitt dataset and the NTUHV dataset, to validate our study. The results showed that our proposed system significantly outperformed the previous works on both datasets, with the score of the area under the receiver operating characteristic curve (AUROC) of classifying AD and healthy control (HC) being as high as 0.92 on the Pitt dataset and 0.97 on the NTUHV dataset. The performance on classifying MCI and HC remained promising, with the AUROC being 0.83 on the Pitt dataset and 0.88 on the NTUHV dataset. Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor, Mild Cognitive Impairment (MCI), is crucial to alleviate the burden on the healthcare system. While most of the existing work in the literature applied neural networks directly together with several data pre-processing techniques, we proposed in this paper a screening system that is to perform classification based on automatic processing of the transcripts of speeches from the subjects undertaking a neuropsychological test. Our system is also shown applicable to different datasets and languages, suggesting that our system holds a high potential to be deployed widely in hospitals across regions. We conducted comprehensive experiments on two different languages datasets, the Pitt dataset and the NTUHV dataset, to validate our study. The results showed that our proposed system significantly outperformed the previous works on both datasets, with the score of the area under the receiver operating characteristic curve (AUROC) of classifying AD and healthy control (HC) being as high as 0.92 on the Pitt dataset and 0.97 on the NTUHV dataset. The performance on classifying MCI and HC remained promising, with the AUROC being 0.83 on the Pitt dataset and 0.88 on the NTUHV dataset.Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor, Mild Cognitive Impairment (MCI), is crucial to alleviate the burden on the healthcare system. While most of the existing work in the literature applied neural networks directly together with several data pre-processing techniques, we proposed in this paper a screening system that is to perform classification based on automatic processing of the transcripts of speeches from the subjects undertaking a neuropsychological test. Our system is also shown applicable to different datasets and languages, suggesting that our system holds a high potential to be deployed widely in hospitals across regions. We conducted comprehensive experiments on two different languages datasets, the Pitt dataset and the NTUHV dataset, to validate our study. The results showed that our proposed system significantly outperformed the previous works on both datasets, with the score of the area under the receiver operating characteristic curve (AUROC) of classifying AD and healthy control (HC) being as high as 0.92 on the Pitt dataset and 0.97 on the NTUHV dataset. The performance on classifying MCI and HC remained promising, with the AUROC being 0.83 on the Pitt dataset and 0.88 on the NTUHV dataset. Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor, Mild Cognitive Impairment (MCI), is crucial to alleviate the burden on the healthcare system. While most of the existing work in the literature applied neural networks directly together with several data pre-processing techniques, we proposed in this paper a screening system that is to perform classification based on automatic processing of the transcripts of speeches from the subjects undertaking a neuropsychological test. Our system is also shown applicable to different datasets and languages, suggesting that our system holds a high potential to be deployed widely in hospitals across regions. We conducted comprehensive experiments on two different languages datasets, the Pitt dataset and the NTUHV dataset, to validate our study. The results showed that our proposed system significantly outperformed the previous works on both datasets, with the score of the area under the receiver operating characteristic curve (AUROC) of classifying AD and healthy control (HC) being as high as 0.92 on the Pitt dataset and 0.97 on the NTUHV dataset. The performance on classifying MCI and HC remained promising, with the AUROC being 0.83 on the Pitt dataset and 0.88 on the NTUHV dataset. |
| ArticleNumber | 18570 |
| Author | Chang, Yu-Ling Tsai, Austin Cheng-Yun Fu, Li-Chen Chang, Wei-Der Yao, Li-Hung Hong, Sheng-Yi |
| Author_xml | – sequence: 1 givenname: Austin Cheng-Yun surname: Tsai fullname: Tsai, Austin Cheng-Yun organization: Department of Computer Science and Information Engineering, National Taiwan University – sequence: 2 givenname: Sheng-Yi surname: Hong fullname: Hong, Sheng-Yi organization: Department of Computer Science and Information Engineering, National Taiwan University – sequence: 3 givenname: Li-Hung surname: Yao fullname: Yao, Li-Hung organization: Department of Computer Science and Information Engineering, National Taiwan University – sequence: 4 givenname: Wei-Der surname: Chang fullname: Chang, Wei-Der organization: Department of Computer Science and Information Engineering, National Taiwan University – sequence: 5 givenname: Li-Chen surname: Fu fullname: Fu, Li-Chen email: lichen@ntu.edu.tw organization: Department of Computer Science and Information Engineering, National Taiwan University – sequence: 6 givenname: Yu-Ling surname: Chang fullname: Chang, Yu-Ling organization: Department of Psychology, National Taiwan University |
| BookMark | eNp9kktv1DAUhSNUREvpH2BliQVsAn7c2MkGaVTxqFSJDawt27nOZJSxBzsBhl-Pp6mAssAL27LP-XR1dJ5WZyEGrKrnjL5mVLRvMrCma2vKWd0pCbyGR9UFp9DUXHB-9tf9vLrKeUfLangHrHtSnQtoRKM4u6jMJhD0fnQjhpm4GGb8Mdfmu0lIskuIYQwDycc84574mMhm-rnFcY_pZSb9mNFkJLZsPYmBBFxSPOSj28YpDkcyY56fVY-9mTJe3Z-X1Zf37z5ff6xvP324ud7c1g5kO9eiRSPRiB68AuGtk0Ipa2UDjKKzwlHnFfqGKy7R9x1zYLETDkTfic5IcVndrNw-mp0-pHFv0lFHM-q7h5gGbdI8ugm1sq1rOeO2azyAgs70BqQUiGiU87aw3q6sw2L32LuSTTLTA-jDnzBu9RC_6RagbRUrgFf3gBS_LiUFvR-zw2kyAeOSNW8UAJWqPc394h_pLi4plKhOKiEFp81JxVeVSzHnhP73MIzqUyH0WghdCqHvCqGhmMRqykUcBkx_0P9x_QLU-rsc |
| Cites_doi | 10.1001/archneur.1994.00540180063015 10.1212/WNL.34.7.939 10.1080/02687039608248419 10.22430/22565337.1387 10.1136/jnnp.55.10.967 10.1006/brln.1996.0033 10.1016/j.dadm.2018.02.004 10.1080/00223980.1945.9917223 10.1037/0894-4105.17.1.82 10.1007/s10072-005-0467-9 10.1016/0028-3932(95)00151-4 10.3233/JAD-150520 10.1016/j.jalz.2019.01.010 10.1080/13825580902825220 10.1080/01688638508401277 10.1002/(SICI)1098-1063(1998)8:3<205::AID-HIPO3>3.0.CO;2-I 10.1212/WNL.0b013e31828726f5 10.1016/j.jalz.2011.03.003 10.18653/v1/P19-1356 10.1371/journal.pone.0205636 10.18653/v1/P17-1118 10.3115/v1/D14-1179 10.18653/v1/P16-1221 10.3115/v1/D14-1162 10.21437/IberSPEECH.2018-59 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2021 The Author(s) 2021. This work is published under http://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. 2021. The Author(s). |
| Copyright_xml | – notice: The Author(s) 2021 – notice: The Author(s) 2021. This work is published under http://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. – notice: 2021. The Author(s). |
| DBID | C6C AAYXX CITATION 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI Q9U 7X8 5PM DOA |
| DOI | 10.1038/s41598-021-97642-4 |
| DatabaseName | Springer Nature OA Free Journals CrossRef ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Local Electronic Collection Information Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Proquest Medical Database Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals (Freely Accessible) url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 13 |
| ExternalDocumentID | oai_doaj_org_article_7b8c8212b95f44749ada4663eeea7cfb PMC8448871 10_1038_s41598_021_97642_4 |
| GrantInformation_xml | – fundername: All Vista Healthcare under Ministry of Science and Technology of Taiwan grantid: 109-2634-F-002-040; 109-2634-F-002-040; 109-2634-F-002-040; 109-2634-F-002-040; 109-2634-F-002-040 – fundername: Joint Research Center for AI Technology grantid: 109-2634-F-002-027; 109-2634-F-002-027; 109-2634-F-002-027; 109-2634-F-002-027; 109-2634-F-002-027 – fundername: Center for Artificial Intelligence and Advanced Robotics, National Taiwan University grantid: 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041 funderid: http://dx.doi.org/10.13039/501100019001 – fundername: ; grantid: 109-2634-F-002-040; 109-2634-F-002-040; 109-2634-F-002-040; 109-2634-F-002-040; 109-2634-F-002-040 – fundername: ; grantid: 109-2634-F-002-027; 109-2634-F-002-027; 109-2634-F-002-027; 109-2634-F-002-027; 109-2634-F-002-027 – fundername: ; grantid: 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041; 109-2634-F-002-041 |
| GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD ABDBF ABUWG ACGFS ACSMW ACUHS ADBBV ADRAZ AENEX AEUYN AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RNT RNTTT RPM SNYQT UKHRP AASML AAYXX AFPKN CITATION PHGZM PHGZT 7XB 8FK AARCD K9. PJZUB PKEHL PPXIY PQEST PQGLB PQUKI Q9U 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c468t-38ea6ea3d4f743fbc6377bb65410ecb3c0cf7ef52726efd91c4be93c43d939a63 |
| IEDL.DBID | M48 |
| ISSN | 2045-2322 |
| IngestDate | Wed Aug 27 01:30:01 EDT 2025 Thu Aug 21 14:23:59 EDT 2025 Fri Jul 11 07:05:26 EDT 2025 Wed Aug 13 04:44:14 EDT 2025 Tue Jul 01 03:49:19 EDT 2025 Fri Feb 21 02:38:55 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c468t-38ea6ea3d4f743fbc6377bb65410ecb3c0cf7ef52726efd91c4be93c43d939a63 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1038/s41598-021-97642-4 |
| PMID | 34535721 |
| PQID | 2573632056 |
| PQPubID | 2041939 |
| PageCount | 13 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_7b8c8212b95f44749ada4663eeea7cfb pubmedcentral_primary_oai_pubmedcentral_nih_gov_8448871 proquest_miscellaneous_2574406786 proquest_journals_2573632056 crossref_primary_10_1038_s41598_021_97642_4 springer_journals_10_1038_s41598_021_97642_4 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-09-17 |
| PublicationDateYYYYMMDD | 2021-09-17 |
| PublicationDate_xml | – month: 09 year: 2021 text: 2021-09-17 day: 17 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationYear | 2021 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | McKhann (CR8) 1984; 34 Hernández-Domínguez, Ratté, Sierra-Martínez, Roche-Bergua (CR16) 2018; 10 Giles, Patterson, Hodges (CR11) 1996; 10 Wechsler (CR19) 1945; 19 Risser, Spreen (CR20) 1985; 7 Forbes-McKay, Venneri (CR10) 2005; 26 Greene, Baddeley, Hodges (CR12) 1996; 34 CR18 CR17 Fraser, Meltzer, Rudzicz (CR15) 2016; 49 McKhann, Drachman, Folstein, Katzman, Price, Stadlan (CR22) 1984; 34 CR35 CR32 CR31 Squire, Zola (CR30) 1998; 8 Sperling (CR7) 2011; 7 Hebert, Weuve, Scherr, Evans (CR1) 2013; 80 Heron (CR6) 2018; 67 Martinc, Pollak (CR34) 2020; 2020 Croisile (CR9) 1996; 53 Guerrero-Cristancho, Vásquez-Correa, Orozco-Arroyave (CR33) 2020; 23 Becker, Boiler, Lopez, Saxton, McGonigle (CR21) 1994; 51 CR4 CR3 Scheltens (CR14) 1992; 55 CR5 CR29 Rabin (CR13) 2009; 16 CR28 CR27 Johnson, Storandt, Balota (CR26) 2003; 17 CR25 CR24 CR23 Association (CR2) 2019; 15 97642_CR28 97642_CR29 97642_CR27 97642_CR24 97642_CR25 LA Rabin (97642_CR13) 2009; 16 97642_CR23 L Hernández-Domínguez (97642_CR16) 2018; 10 G McKhann (97642_CR22) 1984; 34 JD Greene (97642_CR12) 1996; 34 E Giles (97642_CR11) 1996; 10 MP Heron (97642_CR6) 2018; 67 JS Guerrero-Cristancho (97642_CR33) 2020; 23 LE Hebert (97642_CR1) 2013; 80 JT Becker (97642_CR21) 1994; 51 RA Sperling (97642_CR7) 2011; 7 P Scheltens (97642_CR14) 1992; 55 97642_CR17 97642_CR18 D Wechsler (97642_CR19) 1945; 19 KC Fraser (97642_CR15) 2016; 49 97642_CR35 AH Risser (97642_CR20) 1985; 7 97642_CR31 97642_CR32 97642_CR4 97642_CR5 97642_CR3 A Association (97642_CR2) 2019; 15 KE Forbes-McKay (97642_CR10) 2005; 26 M Martinc (97642_CR34) 2020; 2020 B Croisile (97642_CR9) 1996; 53 DK Johnson (97642_CR26) 2003; 17 G McKhann (97642_CR8) 1984; 34 LR Squire (97642_CR30) 1998; 8 |
| References_xml | – volume: 51 start-page: 585 year: 1994 end-page: 594 ident: CR21 article-title: The natural history of Alzheimer's disease: description of study cohort and accuracy of diagnosis publication-title: Arch. Neurol. doi: 10.1001/archneur.1994.00540180063015 – volume: 34 start-page: 939 year: 1984 end-page: 939 ident: CR22 article-title: Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease publication-title: Neurology doi: 10.1212/WNL.34.7.939 – ident: CR18 – ident: CR4 – volume: 10 start-page: 395 year: 1996 end-page: 408 ident: CR11 article-title: Performance on the Boston Cookie Theft picture description task in patients with early dementia of the Alzheimer's type: Missing information publication-title: Aphasiology doi: 10.1080/02687039608248419 – volume: 23 start-page: 63 year: 2020 end-page: 75 ident: CR33 article-title: Word-embeddings and grammar features to detect language disorders in alzheimer’s disease patients publication-title: TecnoLógicas doi: 10.22430/22565337.1387 – volume: 55 start-page: 967 year: 1992 end-page: 972 ident: CR14 article-title: Atrophy of medial temporal lobes on MRI in" probable" Alzheimer's disease and normal ageing: Diagnostic value and neuropsychological correlates publication-title: J. Neurol. Neurosurg. Psychiatry doi: 10.1136/jnnp.55.10.967 – volume: 53 start-page: 1 year: 1996 end-page: 19 ident: CR9 article-title: Comparative study of oral and written picture description in patients with Alzheimer's disease publication-title: Brain Lang. doi: 10.1006/brln.1996.0033 – ident: CR35 – ident: CR29 – volume: 67 start-page: 1 year: 2018 end-page: 77 ident: CR6 article-title: Deaths: Leading causes for 2016 publication-title: Natl. Vital Stat. Rep. – volume: 10 start-page: 260 year: 2018 end-page: 268 ident: CR16 article-title: Computer-based evaluation of Alzheimer’s disease and mild cognitive impairment patients during a picture description task publication-title: Alzheimer's Dementia Diagnosis Assess Dis Monitor doi: 10.1016/j.dadm.2018.02.004 – ident: CR25 – ident: CR27 – ident: CR23 – volume: 19 start-page: 87 year: 1945 end-page: 95 ident: CR19 article-title: A standardized memory scale for clinical use publication-title: J. Psychol. doi: 10.1080/00223980.1945.9917223 – volume: 17 start-page: 82 year: 2003 end-page: 82 ident: CR26 article-title: Discourse analysis of logical memory recall in normal aging and in dementia of the Alzheimer type publication-title: Neuropsychology doi: 10.1037/0894-4105.17.1.82 – volume: 26 start-page: 243 year: 2005 end-page: 254 ident: CR10 article-title: Detecting subtle spontaneous language decline in early Alzheimer's disease with a picture description task publication-title: Neurol. Sci. doi: 10.1007/s10072-005-0467-9 – ident: CR3 – volume: 34 start-page: 537 issue: 6 year: 1996 end-page: 551 ident: CR12 article-title: Analysis of the episodic memory deficit in early Alzheimer's disease: Evidence from the doors and people test publication-title: Neuropsychologia doi: 10.1016/0028-3932(95)00151-4 – volume: 49 start-page: 407 year: 2016 end-page: 422 ident: CR15 article-title: Linguistic features identify Alzheimer's disease in narrative speech publication-title: J. Alzheimers Dis. doi: 10.3233/JAD-150520 – ident: CR17 – ident: CR31 – volume: 15 start-page: 321 issue: 3 year: 2019 end-page: 387 ident: CR2 article-title: 2019 Alzheimer's disease facts and figures publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2019.01.010 – volume: 16 start-page: 357 year: 2009 end-page: 376 ident: CR13 article-title: Differential memory test sensitivity for diagnosing amnestic mild cognitive impairment and predicting conversion to Alzheimer's disease publication-title: Aging Neuropsychol. Cogn. doi: 10.1080/13825580902825220 – volume: 7 start-page: 463 year: 1985 end-page: 470 ident: CR20 article-title: The western aphasia battery publication-title: J. Clin. Exp. Neuropsychol. doi: 10.1080/01688638508401277 – ident: CR32 – volume: 8 start-page: 205 year: 1998 end-page: 211 ident: CR30 article-title: Episodic memory, semantic memory, and amnesia publication-title: Hippocampus doi: 10.1002/(SICI)1098-1063(1998)8:3<205::AID-HIPO3>3.0.CO;2-I – volume: 80 start-page: 1778 year: 2013 end-page: 1783 ident: CR1 article-title: Alzheimer disease in the United States (2010–2050) estimated using the 2010 census publication-title: Neurology doi: 10.1212/WNL.0b013e31828726f5 – ident: CR5 – volume: 34 start-page: 939 year: 1984 end-page: 939 ident: CR8 article-title: Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease publication-title: Neurology doi: 10.1212/WNL.34.7.939 – ident: CR28 – volume: 2020 start-page: 2157 year: 2020 end-page: 2161 ident: CR34 article-title: Tackling the ADReSS challenge: A multimodal approach to the automated recognition of Alzheimer's dementia publication-title: Proc. Interspeech – ident: CR24 – volume: 7 start-page: 280 year: 2011 end-page: 292 ident: CR7 article-title: Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2011.03.003 – ident: 97642_CR25 – ident: 97642_CR23 – volume: 26 start-page: 243 year: 2005 ident: 97642_CR10 publication-title: Neurol. Sci. doi: 10.1007/s10072-005-0467-9 – volume: 34 start-page: 939 year: 1984 ident: 97642_CR22 publication-title: Neurology doi: 10.1212/WNL.34.7.939 – volume: 7 start-page: 463 year: 1985 ident: 97642_CR20 publication-title: J. Clin. Exp. Neuropsychol. doi: 10.1080/01688638508401277 – ident: 97642_CR24 doi: 10.18653/v1/P19-1356 – ident: 97642_CR4 – volume: 23 start-page: 63 year: 2020 ident: 97642_CR33 publication-title: TecnoLógicas doi: 10.22430/22565337.1387 – ident: 97642_CR35 doi: 10.1371/journal.pone.0205636 – volume: 10 start-page: 395 year: 1996 ident: 97642_CR11 publication-title: Aphasiology doi: 10.1080/02687039608248419 – volume: 55 start-page: 967 year: 1992 ident: 97642_CR14 publication-title: J. Neurol. Neurosurg. Psychiatry doi: 10.1136/jnnp.55.10.967 – volume: 49 start-page: 407 year: 2016 ident: 97642_CR15 publication-title: J. Alzheimers Dis. doi: 10.3233/JAD-150520 – volume: 19 start-page: 87 year: 1945 ident: 97642_CR19 publication-title: J. Psychol. doi: 10.1080/00223980.1945.9917223 – volume: 34 start-page: 939 year: 1984 ident: 97642_CR8 publication-title: Neurology doi: 10.1212/WNL.34.7.939 – volume: 17 start-page: 82 year: 2003 ident: 97642_CR26 publication-title: Neuropsychology doi: 10.1037/0894-4105.17.1.82 – ident: 97642_CR29 – volume: 16 start-page: 357 year: 2009 ident: 97642_CR13 publication-title: Aging Neuropsychol. Cogn. doi: 10.1080/13825580902825220 – ident: 97642_CR32 doi: 10.18653/v1/P17-1118 – volume: 67 start-page: 1 year: 2018 ident: 97642_CR6 publication-title: Natl. Vital Stat. Rep. – volume: 53 start-page: 1 year: 1996 ident: 97642_CR9 publication-title: Brain Lang. doi: 10.1006/brln.1996.0033 – volume: 34 start-page: 537 issue: 6 year: 1996 ident: 97642_CR12 publication-title: Neuropsychologia doi: 10.1016/0028-3932(95)00151-4 – volume: 2020 start-page: 2157 year: 2020 ident: 97642_CR34 publication-title: Proc. Interspeech – ident: 97642_CR27 doi: 10.3115/v1/D14-1179 – ident: 97642_CR17 doi: 10.18653/v1/P16-1221 – ident: 97642_CR5 – ident: 97642_CR3 – volume: 7 start-page: 280 year: 2011 ident: 97642_CR7 publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2011.03.003 – volume: 10 start-page: 260 year: 2018 ident: 97642_CR16 publication-title: Alzheimer's Dementia Diagnosis Assess Dis Monitor doi: 10.1016/j.dadm.2018.02.004 – ident: 97642_CR18 doi: 10.3115/v1/D14-1162 – volume: 51 start-page: 585 year: 1994 ident: 97642_CR21 publication-title: Arch. Neurol. doi: 10.1001/archneur.1994.00540180063015 – ident: 97642_CR28 – volume: 15 start-page: 321 issue: 3 year: 2019 ident: 97642_CR2 publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2019.01.010 – volume: 80 start-page: 1778 year: 2013 ident: 97642_CR1 publication-title: Neurology doi: 10.1212/WNL.0b013e31828726f5 – volume: 8 start-page: 205 year: 1998 ident: 97642_CR30 publication-title: Hippocampus doi: 10.1002/(SICI)1098-1063(1998)8:3<205::AID-HIPO3>3.0.CO;2-I – ident: 97642_CR31 doi: 10.21437/IberSPEECH.2018-59 |
| SSID | ssj0000529419 |
| Score | 2.364939 |
| Snippet | Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its precursor,... Abstract Alzheimer's disease (AD) and other dementias have become the fifth leading cause of death worldwide. Accurate early detection of the disease and its... |
| SourceID | doaj pubmedcentral proquest crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Publisher |
| StartPage | 18570 |
| SubjectTerms | 692/617/375/132 692/617/375/132/1283 Alzheimer's disease Cognitive ability Datasets Humanities and Social Sciences multidisciplinary Neural networks Neurodegenerative diseases Science Science (multidisciplinary) |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NaxUxEA9SELyI9QNXW4kgeNCl-5LZfByfYimCniz0FvIxoQXdV957Repf7yS7r3YL4sXrJmSTmWTmN0zyG8beiJyl90G0ibZDCyGp1iy62KJRwaaQk60krl--qpNT-HzWn90q9VXuhI30wKPgjnQw0ZB9DbbPABqsTx7ITSKi1zGHYn3J590KpkZWb2FhYadXMp00RxvyVOU1WbmRoAl0tzDzRJWwf4Yy796RvJMorf7n-BF7OAFHvhwnvM_u4fCY3R9LSV4_YX45cKx0EDQSLxfQS0jrf_o1crIMFK3SqHzkbeYEVPny-69zvPiB67cbPmVpeHFpia8GXlkuL3e28ZoTHt0-ZafHn759PGmn8gltBGW2rTToFXqZIBNMyCEqqXUIpfB3hzHI2MWsMfdCC4WklEWEgFZGkMlK65V8xvaG1YDPGfdCKhOijV32hOA6E0SMugMJvU0-9Q17txOluxxZMlzNbkvjRsE7EryrgnfQsA9F2jc9C8N1_UB6d5Pe3b_03rCDna7cdOw2juyPVFIQqGvY65tmOjAlC-IHXF3VPgDFR1MfPdPxbELzluHivFJvG4pmKcRs2Pvdbvjz878v-MX_WPBL9kCU3VvKV-gDtrddX-EhAaJteFX3_m9gzgty priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3di9QwEA96IvgifmL1lAiCDxqu26T5eJJVPA5BnzzYt5CPiXfgtevuHnL-9U7Sdo8e6GsT0nZmkvklM_kNIW-alLhzvmERzYEJHyXTizow0NKb6FM0hcT16zd5ciq-rNrVeOC2HdMqpzWxLNSxD_mM_AhNi0veoL_-sP7FctWoHF0dS2jcJncydVlO6VIrtT9jyVEssTDjXZma66Mt-qt8pyznJSiE3kzM_FGh7Z9hzZuZkjfCpcULHT8g90f4SJeDvh-SW9A9IneHgpJXj4lbdhQKKQSORHMaet7Yut9uAxTXB9yz4qh0YG-mCFfp8uefMzi_gM3bLR1jNTQ7tkj7jhauy_W0Ql5RRKW7J-T0-PP3TydsLKLAgpB6x7gGJ8HxKBKCheSD5Ep5n8t_1xA8D3VIClLbqEYCqmYRhAfDg-DRcOMkf0oOur6DZ4S6hkvtgwl1cojjau2bEFQtuGhNdLGtyLtJlHY9cGXYEuPm2g6Ctyh4WwRvRUU-Zmnve2ae6_Kg3_yw47Sxyuug0bt60yYhlDAuOoEgCQCcCslX5HDSlR0n39Zem0pFXu-bcdrkWIjroL8sfYTInhr7qJmOZx80b-nOzwoBt8Y9LW40K_J-sobrl__7h5___1tfkHtNtstcnkIdkoPd5hJeIuDZ-VfFqv8CihgB_w priority: 102 providerName: ProQuest – databaseName: Springer Nature OA Free Journals dbid: C6C link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3di9QwEB_OE8EX8ROrp0QQfNBit0nz8bguHoegTx7cW8jHxDvQ7rG7h5x_vZO0XemhD74207SdTGZ-6Ux-AXjdpsSd820dyRxq4aOs9aIJNWrpTfQpmkLi-vmLPDkVn866swNop70wpWi_UFoWNz1Vh73fUqDJm8FyQYEizFyLW3A7U7dnq17J1f6_Ss5ciYUZ98c0XP_l1lkMKlT9M3x5szryRoq0RJ7j-3BvhIxsObzkAzjA_iHcGQ6RvH4EbtkzLEQQ1BPLped5Met-ug0y8gm0TqVe2cDYzAiisuX3X-d48QM3b7ZszM-wHMwiW_es8FteTl7xmhES3T2G0-OPX1cn9XhwQh2E1Luaa3QSHY8iEUBIPkiulPf5yO8Gg-ehCUlh6lrVSqThWATh0fAgeDTcOMmfwGG_7vEpMNdyqX0woUmOsFujfRuCagQXnYkudhW8nVRpLwd-DFvy2lzbQfGWFG-L4q2o4EPW9l4yc1uXC-vNNzuOtVVeB00R1ZsuCaGEcdEJAkaI6FRIvoKjaazsOOG2ljwPl7wlOFfBq30zTZWc_3A9rq-KjBA5OpOMmo3x7IXmLf3FeSHd1rSOpcVlBe8ma_jz8H9_8LP_E38Od9tsp_mICnUEh7vNFb4g0LPzL4uV_waSKv_S priority: 102 providerName: Springer Nature |
| Title | An efficient context-aware screening system for Alzheimer's disease based on neuropsychology test |
| URI | https://link.springer.com/article/10.1038/s41598-021-97642-4 https://www.proquest.com/docview/2573632056 https://www.proquest.com/docview/2574406786 https://pubmed.ncbi.nlm.nih.gov/PMC8448871 https://doaj.org/article/7b8c8212b95f44749ada4663eeea7cfb |
| Volume | 11 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3da9RAEF_6geCL-InReqwg-KDRdHezHw8i6dFSDlpEPbi3sJ-2UHM1d0XPv97ZTVJJqQ8-BTbLJpmd2flNZvc3CL0iIVCtDckdqEPOjOO53C9s7iU3ypngVCJxPTnlx3M2W5SLLTSUO-oFuLo1tIv1pObtxbtfPzYfweA_dEfG5fsVOKF4UCxuNhCAp3O2jXbBM4loqCc93O-4voliqdZHJGHPAUyQ_hzN7cOMfFWi9B_h0Ju7KG-kUpOHOrqP7vXQEledLjxAW755iO50xSY3j5CuGuwTYQSMhOMW9Rj06p-69RjWDohnYVTcMTtjgLK4uvh95s-_-_b1Cvd5HBydnsPLBicezMth9dxgQKzrx2h-dPh1epz3BRZyy7hc51R6zb2mjgUAEsFYToUwJpYGL7w11BY2CB9KIgj3MG37lhmvqGXUKao0p0_QTrNs_FOENaFcGqtsETRgvEIaYq0oGGWlctqVGXoziLK-7Hg06pT_prLuBF-D4Osk-Jpl6CBK-7pn5MBODcv2W92bVC2MtBI8r1FlYEwwpZ1mAKC891rYYDK0N8xVPehVDSsU5ZQA7MvQy-vbYFIxT6Ibv7xKfRiLXhz6iNEcj15ofKc5P0vk3BLiXQhCM_R20Ia_D__3Bz_7L_E8R3dJVNNYyULsoZ11e-VfADZamwnaFgsxQbtVNfsyg-vB4emnz9A65dNJ-t8wSSbxByK6EMA |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VrRBcEE8RKGAkEAeImo2d2DkgtIVWW9quEGql3oxfoZXaZNndqlp-FL-RsZNslUpw6zWxHGc8j2884xmAN2lZUqV0Gltkh5hpm8dimJjYiVwXVpe2CEVcDyb5-Ih9Pc6O1-BPdxfGp1V2OjEoalsbf0a-iaxFc5qivf40_RX7rlE-utq10GjYYs8tL9Flm3_c_YL7-zZNd7YPP4_jtqtAbFguFjEVTuVOUctKtJ6lNjnlXGvfDztxRlOTmJK7Mkt5mjtc69Aw7QpqGLUFLVROcd5bsM4oujIDWN_annz7vjrV8XEzNiza2zkJFZtztJD-FpvPhOAI9mPWs4ChUUAP3V7PzbwWoA12b-c-3GsBKxk1HPYA1lz1EG43LSyXj0CNKuJCGQqcifjEd-9Kq0s1cwQ1EnrJOCtp6kUTBMhkdPb7xJ2eu9m7OWmjQ8SbUkvqioTqmtNOJy8J4uDFYzi6EQI_gUFVV-4pEJXSXGhTmKRUiBwToVNjeMIoywqrbBbB-46UctpU55Ahqk6FbAgvkfAyEF6yCLY8tVcjfWXt8KCe_ZStoEquhRFoz3WRlYxxViirGMIy55ziptQRbHR7JVtxn8sr5ozg9eo1CqqPvqjK1RdhDGMeG-AY3tvj3oL6b6rTk1DyW6AXja5tBB86brj6-L9_-Nn_1_oK7owPD_bl_u5k7zncTT2P-uYYfAMGi9mFe4Fwa6FftjxO4MdNi9VfOHdBpg |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKEYgL4ikCBYwE4gDRZmPHjwNCC2XVUqg4UGlvxk9aCZJld6tq-Wn8OsZOslUqwa3XxHKc8Ty-8YxnEHpehkC0NmXugB1yahzLxbiwuRfMSGeCk6mI6-dDtndEP86q2Rb609-FiWmVvU5Mito1Np6Rj4C1CCMl2OtR6NIivuxO385_5bGDVIy09u00WhY58OszcN-Wb_Z3Ya9flOX0w9f3e3nXYSC3lIlVToTXzGviaABLGoxlhHNjYm_swltDbGED96Eqeck8rHtsqfGSWEqcJFIzAvNeQVc5qcZRxviMb853YgSNjmV3T6cgYrQEWxnvs8WcCA6wP6cDW5haBgxw7sUszQuh2mQBp7fQzQ664knLa7fRlq_voGttM8v1XaQnNfapIAXMhGMKfHSq9ZleeAy6CfxlmBW3laMxQGU8-fH72J_89IuXS9zFiXA0qg43NU51Nue9dl5jQMSre-joUsh7H23XTe0fIKxLwoSx0hZBA4YshCmt5QUltJJOuypDr3pSqnlbp0Ol-DoRqiW8AsKrRHhFM_QuUnszMtbYTg-axXfViaziRlgBlt3IKlDKqdROUwBo3nvNbTAZ2un3SnWCv1TnbJqhZ5vXILIxDqNr35ymMZRGlABj-GCPBwsavqlPjlPxbwH-NDi5GXrdc8P5x__9ww__v9an6DoIk_q0f3jwCN0oI4vGLhl8B22vFqf-MeCulXmSGByjb5ctUX8Bds5Edg |
| 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=An+efficient+context-aware+screening+system+for+Alzheimer%27s+disease+based+on+neuropsychology+test&rft.jtitle=Scientific+reports&rft.au=Tsai%2C+Austin+Cheng-Yun&rft.au=Hong%2C+Sheng-Yi&rft.au=Yao%2C+Li-Hung&rft.au=Chang%2C+Wei-Der&rft.date=2021-09-17&rft.issn=2045-2322&rft.eissn=2045-2322&rft.volume=11&rft.issue=1&rft_id=info:doi/10.1038%2Fs41598-021-97642-4&rft.externalDBID=n%2Fa&rft.externalDocID=10_1038_s41598_021_97642_4 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |