Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort study

Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort study

Abstract Background COVID-19 and bacterial/fungal coinfections have posed significant challenges to human health. However, there is a lack of good tools for predicting coinfection risk to aid clinical work. Objective We aimed to investigate the risk factors for bacterial/fungal coinfection among COV...

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Bibliographic Details
Main Authors: Min Wang, Wenjuan Li, Hui Wang, Peixin Song
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Antimicrobial Resistance and Infection Control
Subjects:
Machine learning
Predictive model
bacterial/fungal infection
Healthcare-associated
Nosocomial infection
Online Access:https://doi.org/10.1186/s13756-024-01392-7

Internet

https://doi.org/10.1186/s13756-024-01392-7

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