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Machine learning⍰based prediction of cardiovascular disease risk in Africa using WHO Stepwise Surveys: 2014-2019

2026-02-26

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising burdens in Africa due to ageing populations, lifestyle changes, and poor risk factor control. Conventional risk scores developed in high-income settings often perform poorly in African populations. Machine-learning (ML) approaches offer potential to improve prediction by capturing complex,...

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Literature Corpus work
f6256e0c-6257-5141-8550-36c220406431
DOI
10.64898/2026.02.23.26346870
Open publication

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Machine learning⍰based prediction of cardiovascular disease risk in Africa using WHO Stepwise Surveys: 2014-2019DOI 10.64898/2026.02.23.26346870
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