
Investigating Predictors of Preserved Cognitive Function in Older Women Using Machine Learning: Women’s Health Initiative Memory Study
Author(s) -
Ramon Casanova,
Sarah A. Gaussoin,
Robert B. Wallace,
Laura D. Baker,
JiuChiuan Chen,
JoAnn E. Manson,
Victor W. Henderson,
Bonnie C. Sachs,
Jamie N. Justice,
Eric A. Whitsel,
Kathleen M. Hayden,
Stéphen R. Rapp
Publication year - 2021
Publication title -
journal of alzheimer's disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.677
H-Index - 139
eISSN - 1875-8908
pISSN - 1387-2877
DOI - 10.3233/jad-210621
Subject(s) - cognition , dementia , medicine , effects of sleep deprivation on cognitive performance , psychological intervention , psychology , gerontology , clinical psychology , psychiatry , disease
Identification of factors that may help to preserve cognitive function in late life could elucidate mechanisms and facilitate interventions to improve the lives of millions of people. However, the large number of potential factors associated with cognitive function poses an analytical challenge.