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...
| Publicado en: | Health Informatics Journal Vol. 32; no. 2; pp. 1 - 15 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Apr-Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |