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Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Despite rapid and significant changes during the pandemic, prognostic models for COVID-19 patients do not currently account for data drifts. Here, the authors develop a framework for continuously monitoring and updating prognostic models and applied it to predict 28-day survival in COVID-19 patients.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.683b8b5d02ea4901ab5cfc731bf455d7
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-34646-2