Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality
As the world emerges from the COVID-19 pandemic, there is an urgent need to understand patient factors that may be used to predict the occurrence of severe cases and patient mortality. Approximately 20% of SARS-CoV-2 infections lead to acute respiratory distress syndrome caused by the harmful action...
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| Veröffentlicht in: | PLOS digital health Jg. 3; H. 4; S. e0000327 |
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| Hauptverfasser: | , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
Public Library of Science
01.04.2024
Public Library of Science (PLoS) |
| Schlagworte: | |
| ISSN: | 2767-3170, 2767-3170 |
| Online-Zugang: | Volltext |
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