Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model
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DOI: 10.1371/journal.pgph.0002105
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- repec:plo:pmed00:1002589 is not listed on IDEAS
- repec:plo:pmed00:1002407 is not listed on IDEAS
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Cited by:
- Mukhtar Ijaiya & Erica Troncoso & Marang Mutloatse & Duruanyanwu Ifeanyi & Benjamin Obasa & Franklin Emerenini & Lucien De Voux & Thobeka Mnguni & Shantelle Parrott & Ejike Okwor & Babafemi Dare & Olu, 2025. "Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States," PLOS Global Public Health, Public Library of Science, vol. 5(4), pages 1-14, April.
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