Prognostic Significance of Computed Tomography Severity Score for Machine Learning Prediction of Intensive Care Unit Admission in COVID-19 Patients
The results showed that CT-SS is a key predictor for ML models of ICU admission in COVID-19 patients. The ML models developed using a dataset including CT-SS are efficient risk stratification tools for identifying critical COVID-19 patients, thereby facilitating optimal allocation of limited hospital resources.
Authors
- Negar Naderi (ORCID: https://orcid.org/0000-0002-2957-5639)
- Seyed Salman Zakariaee (ORCID: https://orcid.org/0000-0003-2537-3375)
- Ali Sohrabnejad
- Mostafa Shanbehzadeh
Institutions
- Iran University of Medical Sciences (IR)
- Medical University of Ilam (IR)
- Ilam University (IR)
Publication Details
- Journal
- Thoracic research and practice
- Published
- 2026-01-15
- DOI
- https://doi.org/10.4274/thoracrespract.2025.2025-7-13
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ilam University of Medical Sciences
- Ilam University