Development and validation of predictive models for mortality of cases with COVID-19 (Omicron BA.5.2.48 and B.7.14): a retrospective study
Our study developed and validated three practical models for predicting mortality in patients with new COVID-19 variants. All models performed well, and XGBoost was the best-performing model.
Authors
- Ailin Hou
- Peifang Li (ORCID: https://orcid.org/0000-0002-4884-2085)
- Huiliang Yang (ORCID: https://orcid.org/0000-0002-0182-4234)
- Jiali Chen (ORCID: https://orcid.org/0000-0002-7317-4146)
- Ning Ning (ORCID: https://orcid.org/0000-0002-0378-5662)
- Yanfei Ma
- Jinyu Wu (ORCID: https://orcid.org/0000-0001-9384-0567)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- BMJ Open
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1136/bmjopen-2023-082616
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00