Machine Learning-based Prognostic Modeling using Clinical Data and Quantitative Radiomic Features from Chest CT Images in COVID-19 Patients
Contributeurs/tricesShiri Lord, Isaac ; Sorouri, Majid; Geramifar, Parham; Nazari, Mostafa; Abdollahi, Mohammad; Salimi, Yazdan; Khosravi, Bardia; Askari, Dariush; Aghaghazvini, Leila; Hajianfar, Ghasem; Kasaeian, Amir; Abdollahi, Hamid; Arabi, Hossein; Rahmim, Arman; Radmard, Amir Reza; Zaidi, Habib
Publié dansComputers in Biology and Medicine, vol. 132, 104304
Date de publication2021
Résumé
Mots-clés
- COVID-19
- Computed tomography (CT)
- Radiomics
- Prognosis
- Modeling
Groupe de recherche
Financement
- Swiss National Science Foundation - SNFN 320030-176052
Citation (format ISO)
SHIRI LORD, Isaac et al. Machine Learning-based Prognostic Modeling using Clinical Data and Quantitative Radiomic Features from Chest CT Images in COVID-19 Patients. In: Computers in Biology and Medicine, 2021, vol. 132, p. 104304. doi: 10.1016/j.compbiomed.2021.104304
Fichiers principaux (1)
Article (Published version)
Identifiants
- PID : unige:151811
- DOI : 10.1016/j.compbiomed.2021.104304
- PMID : 33691201
ISSN du journal0010-4825