Identification of Risk Factors for Suicidal Ideation and Attempt Based on Machine Learning Algorithms: A Longitudinal Survey in Korea (2007–2019)

Investigating suicide risk factors is critical for socioeconomic and public health, and many researchers have tried to identify factors associated with suicide. In this study, the risk factors for suicidal ideation were compared, and the contributions of different factors to suicidal ideation and at...

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Detalles Bibliográficos
Autores principales: Choi, Junggu, Cho, Seoyoung, Ko, Inhwan, Han, Sanghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657265/
https://www.ncbi.nlm.nih.gov/pubmed/34886497
http://dx.doi.org/10.3390/ijerph182312772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657265/
https://www.ncbi.nlm.nih.gov/pubmed/34886497
http://dx.doi.org/10.3390/ijerph182312772

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