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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Detalles Bibliográficos
Autores principales: Wendland, Philipp, Schmitt, Vanessa, Zimmermann, Jörg, Häger, Lukas, Göpel, Siri, Schenkel-Häger, Christof, Kschischo, Maik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890886/
https://www.ncbi.nlm.nih.gov/pubmed/36742350
http://dx.doi.org/10.1016/j.imu.2023.101188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890886/
https://www.ncbi.nlm.nih.gov/pubmed/36742350
http://dx.doi.org/10.1016/j.imu.2023.101188

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