April 23, 2024, 4:50 a.m. | Shir Lissak, Yaakov Ophir, Refael Tikochinski, Anat Brunstein Klomek, Itay Sisso, Eyal Fruchter, Roi Reichart

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.14057v1 Announce Type: new
Abstract: Background: Recent advancements in Artificial Intelligence (AI) contributed significantly to suicide assessment, however, our theoretical understanding of this complex behavior is still limited. Objective: This study aimed to harness AI methodologies to uncover hidden risk factors that trigger or aggravate suicide behaviors. Method: The primary dataset included 228,052 Facebook postings by 1,006 users who completed the gold-standard Columbia Suicide Severity Rating Scale. This dataset was analyzed using a bottom-up research pipeline without a-priory hypotheses and …

abstract artificial artificial intelligence arxiv assessment behavior contributed cs.cl death harness hidden however intelligence research risk role study suicide type understanding

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