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

Paper Info

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

Abstract
Image 1

Year	DOI	Venue
2022	10.1016/j.compbiomed.2022.105467	Computers in Biology and Medicine
Keywords	DocType	Volume
X-ray CT,COVID-19,Radiomics,Prognosis,Machine learning	Journal	145
ISSN	Citations	PageRank
0010-4825	0	0.34
References	Authors
12	49

Authors (49 rows)

Cited by (0 rows)

References (12 rows)

Name	Order	Citations	PageRank
Isaac Shiri	1	0	0.34
Yazdan Salimi	2	0	0.34
Masoumeh Pakbin	3	0	0.34
Ghasem Hajianfar	4	0	0.34
Atlas Haddadi Avval	5	0	0.34
Amirhossein Sanaat	6	0	0.34
Shayan Mostafaei	7	0	0.34
Azadeh Akhavanallaf	8	0	0.34
Abdollah Saberi	9	0	0.34
Zahra Mansouri	10	0	0.34
Dariush Askari	11	0	0.34
Mohammadreza Ghasemian	12	0	0.34
Ehsan Sharifipour	13	0	0.34
Saleh Sandoughdaran	14	0	0.34
Ahmad Sohrabi	15	0	0.34
Elham Sadati	16	0	0.34
Somayeh Livani	17	0	0.34
Pooya Iranpour	18	0	0.34
Shahriar Kolahi	19	0	0.34
Maziar Khateri	20	0	0.34
Salar Bijari	21	0	0.34
Mohammad Reza Atashzar	22	0	0.34
Sajad P Shayesteh	23	0	0.34
Bardia Khosravi	24	0	0.34
Mohammad Reza Babaei	25	0	0.34
Elnaz Jenabi	26	0	0.34
Mohammad Hasanian	27	0	0.34
Alireza Shahhamzeh	28	0	0.34
Seyaed Yaser Foroghi Ghomi	29	0	0.34
Abolfazl Mozafari	30	0	0.34
Arash Teimouri	31	0	0.34
Fatemeh Movaseghi	32	0	0.34
Azin Ahmari	33	0	0.34
Neda Goharpey	34	0	0.34
Rama Bozorgmehr	35	0	0.34
Hesamaddin Shirzad-Aski	36	0	0.34
Roozbeh Mortazavi	37	0	0.34
Jalal Karimi	38	0	0.34
Nazanin Mortazavi	39	0	0.34
Sima Besharat	40	0	0.34
Mandana Afsharpad	41	0	0.34
Hamid Abdollahi	42	0	0.34
Parham Geramifar	43	0	0.34
Amir Reza Radmard	44	0	0.34
Hossein Arabi	45	0	0.34
Kiara Rezaei-Kalantari	46	0	0.34
Mehrdad Oveisi	47	0	0.34
Arman Rahmim	48	0	0.34
Habib Zaidi	49	121	23.70