Identifying clinically useful COVID-19 population and emergency department phenotypes across the pre-Omicron and Omicron periods
Abstract Background Rapidly phenotyping patients can enhance healthcare management during new pandemic outbreaks. This can be accomplished through data-driven unsupervised methods that do not require clinical outcomes to be available. This study aimed to identify and compare phenotypes of COVID-19 p...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | Archives of Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13690-025-01681-6 |
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