Additive value of computed tomography severity scores to predict lengths of stay in hospital and ICU for COVID-19 patients: a machine learning study
Introduction: During the outbreak of COVID-19, most hospitals faced resource shortages due to the great surges in the influx of infected COVID-19 patients and demand exceeding capacities. Predicting the lengths of stay (LOS) of the patients can help to make proper resource-planning decisions. CT-SS...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Tehran University of Medical Sciences
2025-04-01
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| سلاسل: | Journal of Biostatistics and Epidemiology |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://jbe.tums.ac.ir/index.php/jbe/article/view/1536 |
| الوسوم: |
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