Unsupervised machine learning to identify high likelihood of dementia in population-based surveys: Development and validation study

Journal of Medical Internet Research

Volumn 20, Issue 7, 2018, Pages

  De Langavant, Laurent Cleret ^a,b,c,d,e   Bayen, Eleonore ^e,f,g,h   Yaffe, Kristine ^e  

^a HENRI MONDOR HOSPITAL   (France)

^b FACULTÉ DE MÉDECINE   (France)

^c INSERM U955   (France)

^d ECOLE NORMALE SUPÉRIEURE   (France)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f ASSISTANCE PUBLIQUE HÔPITAUX DE PARIS   (France)

^g SORBONNE UNIVERSITÉ   (France)

^h UNIVERSITÉ PARIS DAUPHINE   (France)

Author keywords

Cluster analysis; Cognition disorders; Data mining; Dementia; Diagnosis; Electronic health records; Health surveys; Unsupervised machine learning

Indexed keywords

DEMENTIA; FEMALE; HUMAN; LONGITUDINAL STUDY; MALE; MIDDLE AGED; PATHOLOGY; PREVALENCE; TRENDS; UNSUPERVISED MACHINE LEARNING; VALIDATION STUDY;

DEMENTIA; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; PREVALENCE; UNSUPERVISED MACHINE LEARNING; VALIDATION STUDIES AS TOPIC;

EID: 85052021167     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/10493     Document Type: Article

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