Back to search

Article

Interpretable Predictive Modeling for Medical Data Using Boolean Rule-aware Regression

2026-05-18

Abstract excerpt

<h4>Purpose</h4> In clinical practice, accurate prediction of disease risk must be accompanied by transparent, human-understandable explanations to support diagnostic confidence, guide therapeutic decisions, and meet ethical and regulatory standards. While deep neural networks achieve high predictive performance in tasks such as cancer detection and diabetes risk stratification, their black-box nature prevents cl...

Topics

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

Identifiers and source

Literature Corpus work
a7d8fd25-9401-586e-be0e-591221fb4471
DOI
10.64898/2026.05.14.725084
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.
Interpretable Predictive Modeling for Medical Data Using Boolean Rule-aware RegressionDOI 10.64898/2026.05.14.725084
Select a neighboring publication to make it the new centre.