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

2024-01-11

Abstract excerpt

<h4>Background: </h4> 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 COVID-19 patients and to develop machine learning models to estimate the risk of coinfection. Methods In this retros...

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Literature Corpus work
a82cd254-921c-51e8-99aa-da9f372e9251
DOI
10.21203/rs.3.rs-3847614/v1
Open publication

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Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort studyDOI 10.21203/rs.3.rs-3847614/v1
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