Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients

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. Comp. in Bio. and Med., 132:104304, 2021. [doi]

@article{ShiriSGNASKAAHK21,
  title = {Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients},
  author = {Isaac Shiri and Majid Sorouri and Parham Geramifar and Mostafa Nazari and Mohammad Abdollahi and Yazdan Salimi and Bardia Khosravi and Dariush Askari and Leila Aghaghazvini and Ghasem Hajianfar and Amir Kasaeian and Hamid Abdollahi and Hossein Arabi and Arman Rahmim and Amir Reza Radmard and Habib Zaidi},
  year = {2021},
  doi = {10.1016/j.compbiomed.2021.104304},
  url = {https://doi.org/10.1016/j.compbiomed.2021.104304},
  researchr = {https://researchr.org/publication/ShiriSGNASKAAHK21},
  cites = {0},
  citedby = {0},
  journal = {Comp. in Bio. and Med.},
  volume = {132},
  pages = {104304},
}