Document is current
Any future updates will be listed below
-
Authors
Sievering, Aaron W.
Wohlmuth, Peter
Geßler, Nele
Gunawardene, Melanie A.
Herrlinger, Klaus
Bein, Berthold
Arnold, Dirk
Bergmann, Martin
Nowak, Lorenz
Gloeckner, Christian
Koch, Ina
Bachmann, Martin
Herborn, Christoph U.
Stang, Axel
-
Clinical Trials BETA
Clinical trials referenced in this document:
nct04659187 at ClinicalTrials.govDocuments that mention this clinical trial
Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission
https://doi.org/10.1186/s12911-022-02057-4
- License Information
-
More Information
Article History
Received: 21 February 2022
Accepted: 17 November 2022
First Online: 28 November 2022
Declarations
:
: The exploratory cohort study operates under the “CORONA Germany” - <i>Clinical Outcome and Risk in hospitalized COVID-19 patients</i> - study (ClinicalTrials.gov, NCT04659187). Data were collected as part of routine care by the responsible clinical teams. Data were anonymised at the point of extraction and no patient identifiable data is reported in the analysis. The study protocol was approved by the ethics committees of the General Medical Councils (Aerztekammer) for the cities Hamburg and Munich prior to data extraction (Ethics committee Aerztekammer Hamburg, Protocol WF-046/20, Date: 26.03.2020) and waived the need for participant consent because any data were collected and analysed on a fully anonymized basis. All data processing and analyses presented in this study have been conducted in accordance with the Helsinki declaration.
: Not applicable.
: The authors declare that they have no competing interests.
