Open AccessAccuracy of Machine Learning Using the Montreal Cognitive Assessment for the Diagnosis of Cognitive Impairment in Parkinson’s Disease
Author(s) -
Junbeom Jeon,
Kiyong Kim,
Kyeongmin Baek,
Seok Jong Chung,
Jeehee Yoon,
Yun Joong Kim
Publication year - 2022
Publication title -
journal of movement disorders
Language(s) - English
Resource type - Journals
eISSN - 2093-4939
pISSN - 2005-940X
DOI - 10.14802/jmd.22012
Subject(s) - medicine , montreal cognitive assessment , cognitive impairment , parkinson's disease , cognition , disease , psychiatry , pathology
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 utility of machine learning algorithms using MoCA cognitive domain scores for improving diagnostic performance for PD-CI.