Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study

Objective: To explore the predictive value of machine learning in cognitive impairment, and identify important factors for cognitive impairment. Methods: A total of 2,326 middle-aged and elderly people completed questionnaire, and physical examination evaluation at baseline, Year 2, and Year 4 follo...

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Veröffentlicht in:	International journal of public health Jg. 68; S. 1605322
Hauptverfasser:	Liu, Haihong, Zhang, Xiaolei, Liu, Haining, Chong, Sheau Tsuey
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 19.01.2023
Schlagworte:	Aged Cognitive Dysfunction - diagnosis Cognitive Dysfunction - epidemiology cognitive impairment Cross-Sectional Studies dementia East Asian People Humans Longitudinal Studies longitudinal study Machine Learning Middle Aged middle-aged and older Chinese Public Health Archive random forest middle-aged and older Chinese dementia cognitive impairment longitudinal study random forest machine learning
ISSN:	1661-8564, 1661-8556, 1661-8564
Online-Zugang:	Volltext
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