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Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms
Poor access to diagnostic testing in resource limited settings restricts surveillance for emerging infections, such as dengue virus (DENV), to clinician suspicion, based on history and exam observations alone. We investigated the ability of machine learning to detect DENV based solely on data availa...
Autores principales: | Vu, David M., Krystosik, Amy R., Ndenga, Bryson A., Mutuku, Francis M., Ripp, Kelsey, Liu, Elizabeth, Bosire, Carren M., Heath, Claire, Chebii, Philip, Maina, Priscilla Watiri, Jembe, Zainab, Malumbo, Said Lipi, Amugongo, Jael Sagina, Ronga, Charles, Okuta, Victoria, Mutai, Noah, Makenzi, Nzaro G., Litunda, Kennedy A., Mukoko, Dunstan, King, Charles H., LaBeaud, A. Desiree |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370704/ https://www.ncbi.nlm.nih.gov/pubmed/37494331 http://dx.doi.org/10.1371/journal.pgph.0001950 |
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