Machine learning models for predicting severe COVID-19 outcomes in hospitals

Machine learning models for predicting severe COVID-19 outcomes in hospitals

The aim of this observational retrospective study is to improve early risk stratification of hospitalized Covid-19 patients by predicting in-hospital mortality, transfer to intensive care unit (ICU) and mechanical ventilation from electronic health record data of the first 24 h after admission. Our...

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Bibliographic Details
Main Authors: Philipp Wendland, Vanessa Schmitt, Jörg Zimmermann, Lukas Häger, Siri Göpel, Christof Schenkel-Häger, Maik Kschischo
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Covid-19
Machine learning
Predictive modelling
Clinical decision support
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914823000308

Internet

http://www.sciencedirect.com/science/article/pii/S2352914823000308

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