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Comprehensive, Transparent, and Fair Machine Learning Models for Hypertension Risk Prediction: Benchmarking With Framingham, External Validation, Individual-Level Analysis, and Equitable Clinical Utility

2025-09-05

Abstract excerpt

<h4>Background: </h4> Hypertension (HTN) is a leading, yet often underdiagnosed, cause of cardiovascular diseases worldwide. While clinical risk scores like the Framingham Risk Score (FRS) are commonly used, their limited capacity to capture complex risk patterns and their poor generalizability hinder optimal prediction and prevention in resource-limited settings. <h4>Methods:</h4> We developed and rigorously vali...

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Literature Corpus work: b9a856b9-a5b3-577d-bd57-61cdc9e0d4c4
DOI: 10.1101/2025.09.03.25334979

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