Open Access<p>Machine Learning Methods to Evaluate the Depression Status of Chinese Recruits: A Diagnostic Study</p>
Author(s) -
Mei Zhao,
Zhanchun Feng
Publication year - 2020
Publication title -
neuropsychiatric disease and treatment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 67
eISSN - 1178-2021
pISSN - 1176-6328
DOI - 10.2147/ndt.s275620
Subject(s) - medicine , support vector machine , depression (economics) , machine learning , artificial intelligence , beck depression inventory , demographics , statistics , psychiatry , demography , anxiety , mathematics , computer science , sociology , economics , macroeconomics
Traditional questionnaires assessing the severity of depression are limited and might not be appropriate for military personnel. We intend to explore the diagnostic ability of three machine learning methods for evaluating the depression status of Chinese recruits, using the Chinese version of Beck Depression Inventory-II (BDI-II) as the standard.