Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States.

Nigeria, with the second-largest HIV epidemic globally, faces challenges in achieving its HIV epidemic control goals by 2030, with interruptions in treatment (IIT) a significant challenge. Machine learning (ML) models can help HIV programs implement targeted interventions to improve the quality of c...

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Ngā kaituhi matua:	Mukhtar Ijaiya, Erica Troncoso, Marang Mutloatse, Duruanyanwu Ifeanyi, Benjamin Obasa, Franklin Emerenini, Lucien De Voux, Thobeka Mnguni, Shantelle Parrott, Ejike Okwor, Babafemi Dare, Oluwayemisi Ogundare, Emmanuel Atuma, Molly Strachan, Ruby Fayorsey, Kelly Curran
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Public Library of Science (PLoS) 2025-01-01
Rangatū:	PLOS Global Public Health
Urunga tuihono:	https://doi.org/10.1371/journal.pgph.0004497
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!