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Enhancing SHAP Explainability for Diagnostic and Prognostic ML Models in Alzheimer’s Disease

Pablo Guillén Enrique Frias-Martinez

Computers, Materials & Continua2026，Vol.87Issue(5)：P.2160-2184,25.

Computers, Materials & Continua2026，Vol.87Issue(5)：P.2160-2184,25.DOI:10.32604/cmc.2026.076400

Enhancing SHAP Explainability for Diagnostic and Prognostic ML Models in Alzheimer’s Disease

Pablo Guillén ¹Enrique Frias-Martinez²

作者信息

1. MIU City University,Miami,FL,USA
2. Research Institute UNIR iTED,Universidad Internacional de La Rioja(UNIR),La Rioja,Spain
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摘要

关键词

Alzheimer’s disease(AD)/automated machine learning(AutoML)/Pycaret/SHAP

分类

医药卫生

引用本文复制引用

Pablo Guillén,Enrique Frias-Martinez..Enhancing SHAP Explainability for Diagnostic and Prognostic ML Models in Alzheimer’s Disease[J].Computers, Materials & Continua,2026,87(5):P.2160-2184,25.

基金项目

Enrique Frias-Martinez would like to thank the IBM-UNIR Chair on Data Science in Education and the Research Institute for Innovation and Technology in Education(UNIR iTED)for partially funding this research. （UNIR iTED）

Computers, Materials & Continua

ISSN：1546-2218

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