Development of a depression in Parkinson's disease prediction model using machine learning

doi:10.5498/wjp.v10.i10.234

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Oct 19, 2020 (publication date) through Nov 22, 2024

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World Journal of Psychiatry

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2220-3206

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Psychiatr. Oct 19, 2020; 10(10): 234-244
Published online Oct 19, 2020. doi: 10.5498/wjp.v10.i10.234

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Figure 1 The distribution of neuropsychological tests. CDR: Clinical Dementia Rating; K-MMSE: Korean Mini-Mental State Examination; K-MoCA: Korean-Montreal Cognitive Assessment; K-IADL: Korean Instrumental Activities of Daily Living; UPDRS: Untitled Parkinson`s Disease Rating total score; H and Y: Hoehn and Yahr; ADL: Activities of Daily Living.

Citation: Byeon H. Development of a depression in Parkinson's disease prediction model using machine learning. World J Psychiatr 2020; 10(10): 234-244
URL: https://www.wjgnet.com/2220-3206/full/v10/i10/234.htm
DOI: https://dx.doi.org/10.5498/wjp.v10.i10.234