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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Bibliographic Details
Published in:Journal of Youth & Adolescence Vol. 53; no. 3; pp. 507 - 526
Main Authors: Haghish, E. F., Nes, Ragnhild Bang, Obaidi, Milan, Qin, Ping, Stänicke, Line Indrevoll, Bekkhus, Mona, Laeng, Bruno, Czajkowski, Nikolai
Format: Article
Published: Springer Nature Mar2024
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Online Access:View this record in EBSCOhost