Open AccessScreening for Early-Stage Alzheimer’s Disease Using Optimized Feature Sets and Machine Learning
Author(s) -
Michael J. Kleiman,
Elan Barenholtz,
James E. Galvin
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-201377
Subject(s) - clinical dementia rating , dementia , random forest , cognitive impairment , feature selection , disease , medicine , memory impairment , cognition , artificial intelligence , machine learning , audiology , computer science , psychiatry
Detecting early-stage Alzheimer's disease in clinical practice is difficult due to a lack of efficient and easily administered cognitive assessments that are sensitive to very mild impairment, a likely contributor to the high rate of undetected dementia.
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