Back to search

Article

Advancing Predictive Modeling in Behavioral Health with Gradient Boosted Bootstrap Model

2026-03-17

Abstract excerpt

<title>Abstract</title> <p>This study advanced predictive modeling in behavioral health by developing and evaluating a Variance Adaptive Gradient Boosted Bootstrap Model (VAGBBM) designed to improve stability, calibration, and interpretability in heterogeneous clinical data. Administrative records from 1,983 adults enrolled in a community-based substance use disorder treatment program were analyzed. The proposed...

Topics

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

Identifiers and source

Literature Corpus work
57d839c1-2244-5f40-bb9b-749a24edec29
DOI
10.21203/rs.3.rs-9109239/v1
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.
Advancing Predictive Modeling in Behavioral Health with Gradient Boosted Bootstrap ModelDOI 10.21203/rs.3.rs-9109239/v1
Select a neighboring publication to make it the new centre.