Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania

Machine learning methods for health care delivery optimization have the potential to improve retention in HIV care, a critical target of global efforts to end the epidemic. However, these methods have not been widely applied to medical record data in low- and middle-income countries. We used an ense...

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Detalles Bibliográficos
Autores principales: Fahey, Carolyn A., Wei, Linqing, Njau, Prosper F., Shabani, Siraji, Kwilasa, Sylvester, Maokola, Werner, Packel, Laura, Zheng, Zeyu, Wang, Jingshen, McCoy, Sandra I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021592/
https://www.ncbi.nlm.nih.gov/pubmed/36962586
http://dx.doi.org/10.1371/journal.pgph.0000720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021592/
https://www.ncbi.nlm.nih.gov/pubmed/36962586
http://dx.doi.org/10.1371/journal.pgph.0000720

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