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A Machine Learning–Driven Health Risk Index for Predicting Chronic Disease Burden

2026-04-02

Abstract excerpt

The rising global burden of chronic diseases necessitates proactive, data-driven approaches for early risk identification and intervention. This study proposes a Machine Learning–Driven Health Risk Index (ML-HRI) designed to predict individual susceptibility to chronic conditions such as cardiovascular disease, diabetes, and hypertension. The model integrates heterogeneous health data, including demographic attrib...

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Literature Corpus work
ad79e06a-67d4-5359-a61e-5d07114507c5
DOI
10.14293/pr2199.003245.v2
Open publication

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