Predictive modeling for COVID-19 readmission risk using machine learning algorithms.
Introduction: The COVID-19 pandemic overwhelmed healthcare systems with severe shortages in hospital resources such as ICU beds, specialized doctors, and respiratory ventilators. In this situation, reducing COVID-19 readmissions could potentially maintain hospital capacity. By employing machine lear...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 22; no. 1; pp. 1 - 13 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
5/20/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |