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...

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Κύριοι συγγραφείς:	Seyed Salman Zakariaee, Mikaeil Molazadeh, Hossein Salmanipour, Negar Naderi
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Tehran University of Medical Sciences 2025-04-01
Σειρά:	Journal of Biostatistics and Epidemiology
Θέματα:	Chest CT severity score COVID-19 CT-SS Machine learning Length of stay
Διαθέσιμο Online:	https://jbe.tums.ac.ir/index.php/jbe/article/view/1536
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