Prediction of the trajectories of depressive symptoms among children in the adolescent brain cognitive development (ABCD) study using machine learning approach-Reference-Cited by-同舟云学术

Prediction of the trajectories of depressive symptoms among children in the adolescent brain cognitive development (ABCD) study using machine learning approach

Published:2022-08 Issue: Volume:310 Page:162-171
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Xiang Qu,Chen Kai,Peng Li,Luo Jiawei,Jiang Jingwen,Chen Yang,Lan Lan,Song Huan,Zhou Xiaobo

Funder

National Institute of Mental Health

Sichuan University

West China Hospital, Sichuan University

National Institutes of Health

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference90 articles.

1. Predicting slaughter weight in pigs with regression tree ensembles;Alsahaf,2018

2. Depressive symptom trajectories and physical health: persistence of problems from adolescence to young adulthood;Ames;J. Affect. Disord.,2018

3. Latent class growth modelling: a tutorial;Andruff;Tutor. Quant. Methods Psychol.,2009

4. Macro-and Micro-averaged Evaluation Measures [ [ BASIC DRAFT ] ];Asch,2013

5. Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: rationale and description;Barch;Dev. Cogn. Neurosci.,2018

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