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...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Tehran University of Medical Sciences
2025-04-01
|
| シリーズ: | Journal of Biostatistics and Epidemiology |
| 主題: | |
| オンライン･アクセス: | https://jbe.tums.ac.ir/index.php/jbe/article/view/1536 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|