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.

• Główni autorzy: David M Vu (Autor), Amy R Krystosik (Autor), Bryson A Ndenga (Autor), Francis M Mutuku (Autor), Kelsey Ripp (Autor), Elizabeth Liu (Autor), Carren M Bosire (Autor), Claire Heath (Autor), Philip Chebii (Autor), Priscilla Watiri Maina (Autor), Zainab Jembe (Autor), Said Lipi Malumbo (Autor), Jael Sagina Amugongo (Autor), Charles Ronga (Autor), Victoria Okuta (Autor), Noah Mutai (Autor), Nzaro G Makenzi (Autor), Kennedy A Litunda (Autor), Dunstan Mukoko (Autor), Charles H King (Autor), A Desiree LaBeaud (Autor)
• Format: Książka
• Wydane: Public Library of Science (PLoS), 2023-01-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

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...