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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |