Open Access<p>Identifying Suicidal Ideation Among Chinese Patients with Major Depressive Disorder: Evidence from a Real-World Hospital-Based Study in China</p>
Author(s) -
Fenfen Ge,
Jingwen Jiang,
Yue Wang,
Cui Yuan,
Wei Zhang
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.s238286
Subject(s) - medicine , hamd , major depressive disorder , suicidal ideation , depression (economics) , psychiatry , machine learning , algorithm , emergency medicine , poison control , injury prevention , anxiety , cognition , computer science , economics , macroeconomics
A growing body of research suggests that major depressive disorder (MDD) is one of the most common psychiatric conditions associated with suicide ideation (SI). However, how a combination of easily accessible variables built a utility clinically model to estimate the probability of an individual patient with SI via machine learning is limited.