Prediction of Suicidal Ideation among Korean Adults Using Machine Learning: A Cross-Sectional Study

OBJECTIVE: Suicidal ideation (SI) precedes actual suicidal event. Thus, it is important for the prevention of suicide to screen the individuals with SI. This study aimed to identify the factors associated with SI and to build prediction models in Korean adults using machine learning methods. METHODS...

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Detalles Bibliográficos
Autores principales: Oh, Bumjo, Yun, Je-Yeon, Yeo, Eun Chong, Kim, Dong-Hoi, Kim, Jin, Cho, Bum-Joo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176567/
https://www.ncbi.nlm.nih.gov/pubmed/32213803
http://dx.doi.org/10.30773/pi.2019.0270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176567/
https://www.ncbi.nlm.nih.gov/pubmed/32213803
http://dx.doi.org/10.30773/pi.2019.0270

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