Article

Rethinking Hyperparameter Optimization for Efficient and Explainable Machine Learning in Civic Health Decision-Making: Empirical Evidence from Malaria Diagnosis

2026-04-24

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Malaria remains one of the most persistent infectious diseases worldwide, with hundreds of millions of cases annually. Machine learning has emerged as a promising tool for malaria diagnosis, but the practical deployment of these models is constrained by hyperparameter optimization complexity. This study provides a comprehensive comparison of stochastic and de...

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Literature Corpus work: 78a0518f-547e-5882-b76d-926ea5cca9d5
DOI: 10.21203/rs.3.rs-9172580/v1

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