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Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts - Scientific Reports
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HIV treatment programs face challenges in identifying patients at risk for loss-to-follow-up and uncontrolled viremia. We applied predictive machine learning algorithms to anonymised, patient-level HIV programmatic data from two districts in South Africa, 2016–2018. We developed patient risk scores for two outcomes: (1)
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