Open AccessDevelopment of a depression in Parkinson's disease prediction model using machine learning
Author(s) -
Haewon Byeon
Publication year - 2020
Publication title -
world journal of psychiatry
Language(s) - English
Resource type - Journals
ISSN - 2220-3206
DOI - 10.5498/wjp.v10.i10.234
Subject(s) - depression (economics) , parkinson's disease , medicine , dyskinesia , disease , neuropsychology , movement disorders , quality of life (healthcare) , physical medicine and rehabilitation , psychiatry , cognition , nursing , economics , macroeconomics
It is important to diagnose depression in Parkinson's disease (DPD) as soon as possible and identify the predictors of depression to improve quality of life in Parkinson's disease (PD) patients.