Classification of Adolescent Psychiatric Patients at High Risk of Suicide Using the Personality Assessment Inventory by Machine Learning

OBJECTIVE: There are growing interests on suicide risk screening in clinical settings and classifying high-risk groups of suicide with suicidal ideation is crucial for a more effective suicide preventive intervention. Previous statistical techniques were limited because they tried to predict suicide...

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Detalles Bibliográficos
Autores principales: Kim, Kyung-Won, Lim, Jae Seok, Yang, Chan-Mo, Jang, Seung-Ho, Lee, Sang-Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600215/
https://www.ncbi.nlm.nih.gov/pubmed/34732031
http://dx.doi.org/10.30773/pi.2021.0191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600215/
https://www.ncbi.nlm.nih.gov/pubmed/34732031
http://dx.doi.org/10.30773/pi.2021.0191

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