Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithm
Abstract Background Narrowing a large set of features to a smaller one can improve our understanding of the main risk factors for in-hospital mortality in patients with COVID-19. This study aimed to derive a parsimonious model for predicting overall survival (OS) among re-infected COVID-19 patients...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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