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INSIGHTFUL: Insight Generation through Clinical Annotation, Analysis, and Modeling of Suicide-Related Factors towards Understanding and Lifesaving

2025-01-14

Abstract excerpt

<h4>Objective</h4> Suicide is a critical medical and public health challenge, particularly among individuals with mental illnesses in safety-net hospitals. To uncover insights about suicidality embedded in unstructured clinical notes, we propose to annotate, analyze, and model a corpus for suicidality understanding and lifesaving. <h4>Methods</h4> A multidisciplinary panel developed an annotation guideline to capt...

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Literature Corpus work
35d73007-9868-52ed-b93e-7e5152903520
DOI
10.1101/2025.01.13.25320491
Open publication

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INSIGHTFUL: Insight Generation through Clinical Annotation, Analysis, and Modeling of Suicide-Related Factors towards Understanding and LifesavingDOI 10.1101/2025.01.13.25320491
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