论文信息 - COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients - 字舞流文

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients

A. Saberi | A. Akhavanallaf | Y. Salimi | D. Askari | Z. Mansouri | S. P. Shayesteh | M. Hasanian | S. Sandoughdaran | P. Iranpour | J. Karimi | E. Sharifipour | G. Hajianfar | I. Shiri | S. Mostafaei | A. Haddadi Avval | Reza Mortazavi | A. Sohrabi | A. Sanaat* | M. Khateri | R. Bozorgmehr | N. Goharpey | M. Ghasemian | S. Besharat | A. Teimouri | A. Shahhamzeh | S. Livani | B. Khosravi | M. Afsharpad | A. Mozafari | M. Babaei | F. Movaseghi | S. Bijari | M. Pakbin | E. Sadati | N. Mortazavi | M. R. Atashzar | E. Jenabi | S. Kolahi | S. Y. Foroghi Gholami | A. Ahmari | H. Shirzad-Aski | Abdol | A. Sanaat | E. Sadati | Bardia Khosravi