Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts von Maskew, Mhairi, Sharpey-Schafer, Kieran, De Voux, Lucien, Crompton, Thomas, Bor, Jacob, Rennick, Marcus, Chirowodza, Admire, Miot, Jacqui, Molefi, Seithati, Onaga, Chuka, Majuba, Pappie, Sanne, Ian, Pisa, Pedro

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Validation and Improvement of a Machine Learning Model to Predict Interruptions in Antiretroviral Treatment in South Africa von Esra, Rachel, Carstens, Jacques, Le Roux, Sue, Mabuto, Tonderai, Eisenstein, Michael, Keiser, Olivia, Orel, Erol, Merzouki, Aziza, De Voux, Lucien, Maskew, Mhari, Sharpey-Schafer, Kieran

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Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model von Esra, Rachel T, Carstens, Jacques, Estill, Janne, Stoch, Ricky, Le Roux, Sue, Mabuto, Tonderai, Eisenstein, Michael, Keiser, Olivia, Maskew, Mhari, Fox, Matthew P, De Voux, Lucien, Sharpey-Schafer, Kieran

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