Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments.

Qasrawi, Radwan; Vicuna Polo, Stephanny; Abu Khader, Rami; Abu Al-Halawa, Diala; Hallaq, Sameh; Abu Halaweh, Nael; Abdeen, Ziad

Qasrawi, Radwan; Vicuna Polo, Stephanny; Abu Khader, Rami; Abu Al-Halawa, Diala; Hallaq, Sameh; Abu Halaweh, Nael; Abdeen, Ziad.

Afiliación

Qasrawi R; Department of Computer Sciences, Al-Quds University, Jerusalem, Palestine.
Vicuna Polo S; Department of Computer Engineering, Istinye University, Istanbul, Türkiye.
Abu Khader R; Al-Quds Center for Business Innovation and Entrepreneurship, Al-Quds University, Jerusalem, Palestine.
Abu Al-Halawa D; Al-Quds Center for Business Innovation and Entrepreneurship, Al-Quds University, Jerusalem, Palestine.
Hallaq S; Faculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Abu Halaweh N; Al-Quds Bard College for Arts and Sciences, Al-Quds University, Jerusalem, Palestine.
Abdeen Z; Department of Computer Sciences, Al-Quds University, Jerusalem, Palestine.

Front Psychiatry ; 14: 1071622, 2023.

Article en En | MEDLINE | ID: mdl-37304448

Palabras clave

cognitive abilities; health; machine learning; mental health; nutrition; prediction; social support

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Psychiatry Año: 2023 Tipo del documento: Article Pais de publicación: Suiza

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