Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tomography Severity Score Data

Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tomography Severity Score Data

Objective: The chest computed tomography severity score (CT-SS) is significantly associated with the severity of the disease and subsequently intensive care unit (ICU) admission in coronavirus disease-19 (COVID-19) patients. However, there was a lack of information about the prognostic role of radio...

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Bibliographic Details
Main Authors: Seyed Salman Zakariaee, Negar Naderi, Hadi Kazemi-Arpanahi
Format: Article
Language:English
Published: Galenos Publishing House 2025-07-01
Series:Gazi Medical Journal
Subjects:
computed tomography
covid-19
machine learning
intensive care unit
length of stay
Online Access:https://gazimedj.com/articles/development-of-machine-learning-prediction-models-to-predict-icu-admission-and-the-length-of-stay-in-icu-for-covid19-patients-using-a-clinical-dataset-including-chest-computed-tomography-severity-score-data/doi/gmj.2025.4266
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