Detection of Suicide Attempters among Suicide Ideators Using Machine Learning

OBJECTIVE: We aimed to develop predictive models to identify suicide attempters among individuals with suicide ideation using a machine learning algorithm. METHODS: Among 35,116 individuals aged over 19 years from the Korea National Health & Nutrition Examination Survey, we selected 5,773 subjec...

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Detalles Bibliográficos
Autores principales: Ryu, Seunghyong, Lee, Hyeongrae, Lee, Dong-Kyun, Kim, Sung-Wan, Kim, Chul-Eung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710424/
https://www.ncbi.nlm.nih.gov/pubmed/31446686
http://dx.doi.org/10.30773/pi.2019.06.19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710424/
https://www.ncbi.nlm.nih.gov/pubmed/31446686
http://dx.doi.org/10.30773/pi.2019.06.19

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