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Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model.
PLOS Glob Public Health. 2023 Jul 19;3(7):e0002105. doi: 10.1371/journal.pgph.0002105. eCollection 2023.
PLOS Glob Public Health. 2023.
PMID: 37467217
Free PMC article.
Validation and Improvement of a Machine Learning Model to Predict Interruptions in Antiretroviral Treatment in South Africa.
Esra R, Carstens J, Le Roux S, Mabuto T, Eisenstein M, Keiser O, Orel E, Merzouki A, De Voux L, Maskew M, Sharpey-Schafer K.
Esra R, et al. Among authors: de voux l.
J Acquir Immune Defic Syndr. 2023 Jan 1;92(1):42-49. doi: 10.1097/QAI.0000000000003108.
J Acquir Immune Defic Syndr. 2023.
PMID: 36194900
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Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts.
Maskew M, Sharpey-Schafer K, De Voux L, Crompton T, Bor J, Rennick M, Chirowodza A, Miot J, Molefi S, Onaga C, Majuba P, Sanne I, Pisa P.
Maskew M, et al. Among authors: de voux l.
Sci Rep. 2022 Jul 26;12(1):12715. doi: 10.1038/s41598-022-16062-0.
Sci Rep. 2022.
PMID: 35882962
Free PMC article.
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