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1 Ergebnisse
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COVID-19 prognostic modeling using CT radiomic features and..:
Shiri, Isaac
;
Salimi, Yazdan
;
Pakbin, Masoumeh
...
Computers in Biology and Medicine. 145 (2022) - p. 105467 , 2022
Link:
https://doi.org/10.1016/j.compbiomed.2022.105467
RT Journal T1
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.compbiomed.2022.105467&Exemplar=1&LAN=DE A1 Shiri, Isaac A1 Salimi, Yazdan A1 Pakbin, Masoumeh A1 Hajianfar, Ghasem A1 Avval, Atlas Haddadi A1 Sanaat, Amirhossein A1 Mostafaei, Shayan A1 Akhavanallaf, Azadeh A1 Saberi, Abdollah A1 Mansouri, Zahra A1 Askari, Dariush A1 Ghasemian, Mohammadreza A1 Sharifipour, Ehsan A1 Sandoughdaran, Saleh A1 Sohrabi, Ahmad A1 Sadati, Elham A1 Livani, Somayeh A1 Iranpour, Pooya A1 Kolahi, Shahriar A1 Khateri, Maziar A1 Bijari, Salar A1 Atashzar, Mohammad Reza A1 Shayesteh, Sajad P. A1 Khosravi, Bardia A1 Babaei, Mohammad Reza A1 Jenabi, Elnaz A1 Hasanian, Mohammad A1 Shahhamzeh, Alireza A1 Foroghi Ghomi, Seyaed Yaser A1 Mozafari, Abolfazl PB Elsevier BV YR 2022 SN 0010-4825 JF Computers in Biology and Medicine VO 145 SP 105467 LK http://dx.doi.org/https://doi.org/10.1016/j.compbiomed.2022.105467 DO https://doi.org/10.1016/j.compbiomed.2022.105467 SF ELIB - SuUB Bremen
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