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

Qasrawi, Radwan; Vicuna Polo, Stephanny Paola; Abu Al-Halawa, Diala; Hallaq, Sameh; Abdeen, Ziad

Qasrawi, Radwan; Vicuna Polo, Stephanny Paola; Abu Al-Halawa, Diala; Hallaq, Sameh; Abdeen, Ziad.

Afiliação

Qasrawi R; Department of Computer Science, Al-Quds University, Ramallah, Occupied Palestinian Territory.
Vicuna Polo SP; Department of Computer Engineering, Istinye University, Istanbul, Turkey.
Abu Al-Halawa D; Center for Business Innovation and Technology, Al-Quds University, Jerusalem, Occupied Palestinian Territory.
Hallaq S; Faculty of Medicine, Al-Quds University, Jerusalem, Occupied Palestinian Territory.
Abdeen Z; Al-Quds Bard College for Arts and Sciences, Al-Quds University, Jerusalem, Occupied Palestinian Territory.

JMIR Form Res ; 6(8): e32736, 2022 Aug 31.

Article em En | MEDLINE | ID: mdl-35665695

Palavras-chave

anxiety; children; depression; early childhood education; machine learning; prediction; random forest; school-age children; schoolchildren; transition-aged youth; young adult; youth

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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