Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children

It is currently estimated that 67% of malaria deaths occur in children under-five years (WHO, 2020). To improve the identification of children at clinical risk for malaria, the WHO developed community (iCCM) and clinic-based (IMCI) protocols for frontline health workers using paper-based forms or di...

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Detalles Bibliográficos
Autores principales: McLaughlin, Megan, Pellé, Karell G., Scarpino, Samuel V., Giwa, Aisha, Mount-Finette, Ezra, Haidar, Nada, Adamu, Fatima, Ravi, Nirmal, Thompson, Adam, Heath, Barry, Dittrich, Sabine, Finette, Barry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851346/
https://www.ncbi.nlm.nih.gov/pubmed/35187469
http://dx.doi.org/10.3389/frai.2021.554017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851346/
https://www.ncbi.nlm.nih.gov/pubmed/35187469
http://dx.doi.org/10.3389/frai.2021.554017

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