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

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Authors: Pablo Guillén, Enrique Frias-Martinez
Cited by: 4

Abstract

Alzheimer’s disease (AD) diagnosis and prognosis increasingly rely on machine learning (ML) models. Although these models provide good results, clinical adoption is limited by the need for technical expertise and the lack o... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Dementia and Cognitive Impairment Research Machine Learning in Healthcare Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Publisher
Tech Science Press
Volume
87
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN