Interpretable heart disease risk prediction via FCA-constrained logistic regression.

Objective: To develop an interpretable and clinically coherent heart disease risk prediction model by integrating Formal Concept Analysis (FCA) with a novel closure-constrained logistic regression that enforces coefficient coherence within FCA-derived concepts. Methods: We used the Heart Disease Hea...

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Bibliographic Details

Published in:	Health Informatics Journal Vol. 32; no. 2; pp. 1 - 15
Main Authors:	Salehi, Arman, Heydarian, Ashkan, Goudarzi, Hamid Reza, Rad, Zahra Farzin
Format:	equations & formulas research tables/charts Journal Article
Published:	Sage Publications Inc. Apr-Jun2026
Online Access:	View this record in EBSCOhost