Identifying the risk of depression in a large sample of adolescents: An artificial neural network based on random forest.

Background: This study aims to develop an artificial neural network (ANN) prediction model incorporating random forest (RF) screening ability for predicting the risk of depression in adolescents and identifies key risk factors to provide a new approach for primary care screening of depression among...

Descripción completa

Detalles Bibliográficos

Publicado en:	Journal of Adolescence Vol. 96; no. 7; pp. 1485 - 1498
Autores principales:	Zhou, Yue, Zhang, Xuelian, Gong, Jian, Wang, Tingwei, Gong, Linlin, Li, Kaida, Wang, Yanni
Formato:	Artículo
Publicado:	Wiley-Blackwell Oct2024
Materias:	Depression in adolescence Self-esteem in adolescence Rumination (Cognition) Artificial neural networks Random forest algorithms
Acceso en línea:	Ver este registro en EBSCOhost