This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (514) Machine Learning (1505) Anxiety and Stress Disorders (1081) Mental Health Issues in Adolescence (457) Depression and Mood Disorders; Suicide Prevention (1393)

Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32736, first published .
Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis

Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis

Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis

Authors of this article:

Radwan Qasrawi1, 2 Author Orcid Image ;   Stephanny Paola Vicuna Polo3 Author Orcid Image ;   Diala Abu Al-Halawa4 Author Orcid Image ;   Sameh Hallaq5 Author Orcid Image ;   Ziad Abdeen4 Author Orcid Image
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