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Real-World Validation of Machine Learning Models for HIV Treatment Adherence Prediction and Care Gap Quantification: A Multi-Country Analysis of 192,732 Clinical Records

2026-06-19

Abstract excerpt

<title>Abstract</title> <p>Delayed diagnosis and poor antiretroviral therapy (ART) adherence remain primary drivers of HIV-related morbidity in low-resource settings, yet real-world AI validation at scale is lacking. We conducted a retrospective validation study using two publicly available, de-identified datasets: a Quality of Care cohort of 27,288 HIV-positive patients on ART across multiple healthcare faciliti...

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Literature Corpus work
3d7314eb-643b-568e-ab30-e17f94de5a9a
DOI
10.21203/rs.3.rs-9802705/v1
Open publication

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Real-World Validation of Machine Learning Models for HIV Treatment Adherence Prediction and Care Gap Quantification: A Multi-Country Analysis of 192,732 Clinical RecordsDOI 10.21203/rs.3.rs-9802705/v1
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