Accuracy of Machine Learning Using the Montreal Cognitive Assessment for the Diagnosis of Cognitive Impairment in Parkinson’s Disease

Accuracy of Machine Learning Using the Montreal Cognitive Assessment for the Diagnosis of Cognitive Impairment in Parkinson’s Disease

Objective The Montreal Cognitive Assessment (MoCA) is recommended for assessing general cognition in Parkinson’s disease (PD). Several cutoffs of MoCA scores for diagnosing PD with cognitive impairment (PD-CI) have been proposed, with varying sensitivity and specificity. This study investigated the...

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Bibliographic Details
Main Authors:	Junbeom Jeon, Kiyong Kim, Kyeongmin Baek, Seok Jong Chung, Jeehee Yoon, Yun Joong Kim
Format:	Article
Language:	English
Published:	Korean Movement Disorder Society 2022-05-01
Series:	Journal of Movement Disorders
Subjects:	depression machine learning mild cognitive impairment montreal cognitive assessment parkinson’s disease regression analysis
Online Access:	http://www.e-jmd.org/upload/jmd-22012.pdf

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