Prediction Models for Suicide Attempts among Adolescents Using Machine Learning Techniques

OBJECTIVE: Suicide attempts (SAs) in adolescents are difficult to predict although it is a leading cause of death among adolescents. This study aimed to develop and evaluate SA prediction models based on six different machine learning (ML) algorithms for Korean adolescents using data from online sur...

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Detalles Bibliográficos
Autores principales: Lim, Jae Seok, Yang, Chan-Mo, Baek, Ju-Won, Lee, Sang-Yeol, Kim, Bung-Nyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean College of Neuropsychopharmacology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606439/
https://www.ncbi.nlm.nih.gov/pubmed/36263637
http://dx.doi.org/10.9758/cpn.2022.20.4.609

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606439/
https://www.ncbi.nlm.nih.gov/pubmed/36263637
http://dx.doi.org/10.9758/cpn.2022.20.4.609

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