![](https://dblp.uni-trier.de./img/logo.320x120.png)
![search dblp search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
default search action
"Machine learning-based prognostic modeling using clinical data and ..."
Isaac Shiri et al. (2021)
- Isaac Shiri
, Majid Sorouri, Parham Geramifar
, Mostafa Nazari, Mohammad Abdollahi
, Yazdan Salimi
, Bardia Khosravi
, Dariush Askari
, Leila Aghaghazvini, Ghasem Hajianfar
, Amir Kasaeian, Hamid Abdollahi, Hossein Arabi, Arman Rahmim
, Amir Reza Radmard, Habib Zaidi
:
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients. Comput. Biol. Medicine 132: 104304 (2021)
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.