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

P Wendland, V Schmitt, J Zimmermann, L Häger… - Informatics in medicine …, 2023 - Elsevier
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 …
被引用次数：9 相关文章
[HTML] europepmc.org

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

P Wendland, V Schmitt, J Zimmermann, L Häger… - 2022 - europepmc.org
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 …

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

P Wendland, V Schmitt… - Informatics in …, 2023 - pubmed.ncbi.nlm.nih.gov
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 …

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

P Wendland, V Schmitt, J Zimmermann, L Häger… - medRxiv, 2022 - medrxiv.org
Objectives 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 …
[HTML] nih.gov

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

P Wendland, V Schmitt, J Zimmermann… - … in Medicine Unlocked, 2023 - ncbi.nlm.nih.gov
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 …
[PDF] archive.org

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

P Wendland, V Schmitt, J Zimmermann, L Häger… - scholar.archive.org
Objectives 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 …

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

P Wendland, V Schmitt, J Zimmermann… - … in Medicine Unlocked, 2023 - europepmc.org
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 …