Unveiling Adolescent Suicidality: Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms.

Adolescent suicide attempts are on the rise, presenting a significant public health concern. Recent research aimed at improving risk assessment for adolescent suicide attempts has turned to machine learning. But no studies to date have examined the performance of stacked ensemble algorithms, which a...

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Detalles Bibliográficos
Publicado en:Journal of Youth & Adolescence Vol. 53; no. 3; pp. 507 - 526
Autores principales: Haghish, E. F., Nes, Ragnhild Bang, Obaidi, Milan, Qin, Ping, Stänicke, Line Indrevoll, Bekkhus, Mona, Laeng, Bruno, Czajkowski, Nikolai
Formato: Artículo
Publicado: Springer Nature Mar2024
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Acceso en línea:Ver este registro en EBSCOhost