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Applying Machine Learning to Tackle the Double Burden of HIV and Diabetes in Rwanda

2025-07-04

Abstract excerpt

<title>Abstract</title> <p>Background: HIV and Type 2 diabetes (T2DM) are global health challenges, and the burden of HIV is pronounced in sub Saharan Africa, with the rising prevalence of non-communicable diseases (NCDs) such as T2DM. <h4>Objective:</h4> The study was to apply machine learning techniques to explore: (i) the proportion of T2DM among people living with HIV (PLWH); and (ii) the association between...

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Literature Corpus work
4657e5bb-d7a7-5b90-8890-61e429491fcb
DOI
10.21203/rs.3.rs-5768967/v1
Open publication

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Applying Machine Learning to Tackle the Double Burden of HIV and Diabetes in RwandaDOI 10.21203/rs.3.rs-5768967/v1
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