Back to search

Article

Evidence-guided AI regularization for suicidal ideation prediction in pediatric bipolar disorder

2026-06-22

Abstract excerpt

<h4>Background</h4> Suicide prediction models in psychiatry often rely on purely data-driven feature selection, which can produce unstable and clinically opaque predictor sets in modest-sized samples. We developed Evidence-Based AI LASSO (EBAL), an evidence-guided regularization framework that incorporates curated clinical evidence into feature-specific penalty factors for interpretable prediction. <h4>Methods</h...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7fb4e3c2-fe19-5afb-9d40-f2cd1fe15f11
DOI
10.64898/2026.06.18.26355841
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Evidence-guided AI regularization for suicidal ideation prediction in pediatric bipolar disorderDOI 10.64898/2026.06.18.26355841
Select a neighboring publication to make it the new centre.