Machine learning models for predicting risk of depression in Korean college students: Identifying family and individual factors

BACKGROUND: Depression is one of the most prevalent mental illnesses among college students worldwide. Using the family triad dataset, this study investigated machine learning (ML) models to predict the risk of depression in college students and identify important family and individual factors. METH...

Descripción completa

Detalles Bibliográficos
Autores principales: Gil, Minji, Kim, Suk-Sun, Min, Eun Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714606/
https://www.ncbi.nlm.nih.gov/pubmed/36466485
http://dx.doi.org/10.3389/fpubh.2022.1023010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714606/
https://www.ncbi.nlm.nih.gov/pubmed/36466485
http://dx.doi.org/10.3389/fpubh.2022.1023010

Ejemplares similares