Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study.

Journal: Journal of medical Internet research
PMID: 29986849

Abstract

BACKGROUND: Dementia is increasing in prevalence worldwide, yet frequently remains undiagnosed, especially in low- and middle-income countries. Population-based surveys represent an underinvestigated source to identify individuals at risk of dementia.

Authors

  • Laurent Cleret de Langavant
    Service de Neurologie, Hôpital Henri Mondor, Assistance Publique Hôpitaux de Paris, Créteil, France.
  • Eleonore Bayen
    Global Brain Health Institute, Memory and Aging Center, University of California, San Francisco, CA, United States.
  • Kristine Yaffe
    Departments of Neurology, Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.

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