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P1‐601: UNSUPERVISED MACHINE LEARNING TO IDENTIFY HIGH LIKELIHOOD OF DEMENTIA IN POPULATION‐BASED SURVEYS
Author(s) -
Langavant Laurent Cleret,
Bayen Eleonore,
Yaffe Kristine
Publication year - 2018
Publication title -
alzheimer's and dementia
Language(s) - Romanian
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2018.06.614
Subject(s) - dementia , cognition , population , health and retirement study , cluster (spacecraft) , cluster analysis , medicine , gerontology , psychology , machine learning , artificial intelligence , computer science , psychiatry , disease , environmental health , programming language
Data are presented as mean6 SD or n (%). MCI, Mild cognitive impairment. Laurent Cleret de Langavant, Eleonore Bayen, Kristine Yaffe, Ecole Normale Sup erieure Paris Est University H Mondor Hospital, Creteil, France; Ecole Normale Superieure, Paris, France; Assistance Publique Hôpitaux de Paris Henri Mondor Hospital, Creteil, France; INSERM, Paris, France; University of California San Francisco Global Brain Health Institute, San Francisco, CA, USA, and Sorbonne Universit e La Pitie-Salpetriere, Paris, France; University of California, San Francisco, San Francisco, CA, USA. Contact e-mail: laurent.cleret@gbhi. org