Machine learning-based clinical decision support for infection risk prediction

Machine learning-based clinical decision support for infection risk prediction

BackgroundHealthcare-associated infection (HAI) remains a significant risk for hospitalized patients and a challenging burden for the healthcare system. This study presents a clinical decision support tool that can be used in clinical workflows to proactively engage secondary assessments of pre-symp...

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Bibliographic Details
Main Authors: Ting Feng, David P. Noren, Chaitanya Kulkarni, Sara Mariani, Claire Zhao, Erina Ghosh, Dennis Swearingen, Joseph Frassica, Daniel McFarlane, Bryan Conroy
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Medicine
Subjects:
healthcare-associated infection (HAI)
machine learning
clinical decision support (CDS)
model interpretability
pre-symptomatic infection risk
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1213411/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1213411/full

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