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Pengfei Rong

Central South University - Department of Radiology

China

SCHOLARLY PAPERS

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Scholarly Papers (1)

1.

Machine Learning Based on Clinical Variables and Chest CT Quantitative Measurements for Early Prediction of Progression Risk in COVID-19 Patients: A Multicentre Study

Number of pages: 37 Posted: 12 Jun 2020
Central South University - Department of Radiology, National University of Defense Technology - The College of Mechatronics and Automation, College of Intelligence Science and Technology, National University of Defense Technology, National University of Defense Technology - The College of Mechatronics and Automation, Department of Radiology, Third Xiangya Hospital, Central South University, Central South University - Xiangya Hospital, Department of Radiology, Third Xiangya Hospital, Central South University, Department of Radiology, Third Xiangya Hospital, Central South University, Department of Radiology, Third Xiangya Hospital, Central South University, Department of Radiology, Third Xiangya Hospital, Central South University, Department of Radiology, Third Xiangya Hospital, Central South University, The First Hospital of Changsha - Department of Radiology, Department of Medical Imaging, First Hospital of Yueyang, Department of Medical Imaging, CentralHospital of Shaoyang, Department of Radiology, Central Hospital of Xiangtan, Department of Radiology, Second Hospital of Changde, Department of Radiology, Central Hospital of Loudi, Department of Radiology, Third Xiangya Hospital, Central South University, Central South University - Department of Radiology, National University of Defense Technology - The College of Mechatronics and Automation and Central South University - Department of Radiology
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Citation 6

Abstract:

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Coronavirus disease 2019, Progression, Machine learning, Deep learning, Prediction, Computed tomography