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Using Explainable Artificial Intelligence for Mapping Health Vulnerability: Interaction-Based Analysis of Multiple Sources of Data in Latin America

2025-05-12

Abstract excerpt

<title>Abstract</title> <p>Ethnic diversity, geographic isolation, access to medical care, and genetic predisposition all interplay with one another and impact the health disparities noted in Latin America. This study presents a new, explainable AI (XAI) framework that detects and characterize regional health vulnerability using data integrated from multiple, open-source domains, such as disease risk, medical sup...

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Literature Corpus work
a7bf8157-c5b1-5ad8-b736-5e109a293c4f
DOI
10.21203/rs.3.rs-6479541/v1
Open publication

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Using Explainable Artificial Intelligence for Mapping Health Vulnerability: Interaction-Based Analysis of Multiple Sources of Data in Latin AmericaDOI 10.21203/rs.3.rs-6479541/v1
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