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 , medicine , disease , memory impairment , cognition , classifier (uml) , artificial intelligence , machine learning , 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.