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Article

Clinical phenotypes in hypertension: a data-driven approach to risk stratification and outcome prediction

2025-04-25

Abstract excerpt

<h4>Background</h4> Hypertension (HTN) is a major contributor to cardiovascular (CV) morbidity and mortality. Its heterogeneity complicates risk stratification. Unsupervised machine learning can identify risk profiles and refine preventative strategies. <h4>Objectives</h4> This study applies clustering analysis to clinical data to identify HTN phenogroups and their link with CV abnormalities and outcomes. <h4>Meth...

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Literature Corpus work
0a3c1dc7-4226-5646-868c-aabcb45f0e01
DOI
10.1101/2025.04.22.25326237
Open publication

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Clinical phenotypes in hypertension: a data-driven approach to risk stratification and outcome predictionDOI 10.1101/2025.04.22.25326237
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