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

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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Bibliographic Details
Main Authors: Ben J Brintz, Benjamin Haaland, Joel Howard, Dennis L Chao, Joshua L Proctor, Ashraful I Khan, Sharia M Ahmed, Lindsay T Keegan, Tom Greene, Adama Mamby Keita, Karen L Kotloff, James A Platts-Mills, Eric J Nelson, Adam C Levine, Andrew T Pavia, Daniel T Leung
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-02-01
Series:eLife
Subjects:
clinical prediction rule
diarrhea
enteric infection
antibiotic stewardship
clinical decision support
Online Access:https://elifesciences.org/articles/63009

Internet

https://elifesciences.org/articles/63009

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