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...

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Bibliographic Details

Published in:	Journal of Adolescence Vol. 96; no. 7; pp. 1485 - 1498
Main Authors:	Zhou, Yue, Zhang, Xuelian, Gong, Jian, Wang, Tingwei, Gong, Linlin, Li, Kaida, Wang, Yanni
Format:	Article
Published:	Wiley-Blackwell Oct2024
Subjects:	Depression in adolescence Self-esteem in adolescence Rumination (Cognition) Artificial neural networks Random forest algorithms
Online Access:	View this record in EBSCOhost