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Identifying Clinical Diagnostic Trajectories Associated With Suicide Death Using Temporal Sequence Mining of Linked Claims and Mortality Data

2026-06-10

Abstract excerpt

<h4>Background</h4> Most approaches to suicide risk assessment consider clinical conditions as independent risk factors, potentially overlooking prognostic information in the order in which conditions accumulate. We applied temporal sequence mining to linked claims and mortality data to identify ordered clinical diagnostic trajectories associated with suicide death. <h4>Results</h4> The cohort included 3 647 059...

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Literature Corpus work
f3bab9d1-3c0a-5b8a-b340-5f3df853f676
DOI
10.64898/2026.06.08.26355231
Open publication

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Identifying Clinical Diagnostic Trajectories Associated With Suicide Death Using Temporal Sequence Mining of Linked Claims and Mortality DataDOI 10.64898/2026.06.08.26355231
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