Article

Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans <sup>1</sup>

2026-06-18

Abstract excerpt

<h4>Background</h4> Veterans face an elevated risk of suicide compared to the general population, motivating national efforts to develop predictive models that can guide proactive care. Current models used by the U.S. Department of Veterans Affairs (VA) rely primarily on structured electronic health record (EHR) data, though clinical notes contain rich contextual information that can be quantified using natural l...

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Literature Corpus work: 408489d6-7e34-5e5b-b64a-d24040825739
DOI: 10.64898/2026.06.16.26355796

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