A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrhea

Traditional clinical prediction models focus on parameters of the individual patient. For infectious diseases, sources external to the patient, including characteristics of prior patients and seasonal factors, may improve predictive performance. We describe the development of a predictive model that...

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Detalles Bibliográficos
Autores principales: Brintz, Ben J, Haaland, Benjamin, Howard, Joel, Chao, Dennis L, Proctor, Joshua L, Khan, Ashraful I, Ahmed, Sharia M, Keegan, Lindsay T, Greene, Tom, Keita, Adama Mamby, Kotloff, Karen L, Platts-Mills, James A, Nelson, Eric J, Levine, Adam C, Pavia, Andrew T, Leung, Daniel T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Epidemiology and Global Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7853717/
https://www.ncbi.nlm.nih.gov/pubmed/33527894
http://dx.doi.org/10.7554/eLife.63009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7853717/
https://www.ncbi.nlm.nih.gov/pubmed/33527894
http://dx.doi.org/10.7554/eLife.63009

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