Article

Interpretable Hybrid Metaheuristic Optimization with Iteration-Level Behavior Analysis for Clinical Feature Selection in Heart Disease Prediction

2026-04-27

Abstract excerpt

<title>Abstract</title> <p>Cardiovascular disease prediction demands more than accurate models; it requires feature selection processes that are transparent, reproducible, and diagnostically interpretable. Existing wrapper-based metaheuristic selectors typically operate as black boxes, reporting final accuracy without exposing how features were chosen or whether the selection would replicate across data samples....

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Literature Corpus work: fc1da724-0511-5e3b-9c12-27826aba8584
DOI: 10.21203/rs.3.rs-9392962/v1

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