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  • [\'Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, People\'s Republic of China.\', \'Zhenyu Tang and Wei Zhao contributed equally to this work.\', \'Department of Radiology, Second Xiangya Hospital, Central South University, Hunan Province, Changsha 410011, People\'s Republic of China.\', \'Department of Radiology, First hospital of Changsha, Hunan Province, Changsha 410005, People\'s Republic of China.\', \'Changsha Public Health Treatment Center, Hunan Province, Changsha 410153, People\'s Republic of China.\', \'Shanghai United Imaging Intelligence Co., Ltd, Shanghai 200232, People\'s Republic of China.\', \'International Collaboration, Waitemata District Health Board, Level 1, 15 Shea Terrace, Auckland 0622, New Zealand.\', \'Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea.\']
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  • -1
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?:doi
?:doi
  • 10.1088/1361-6560/abbf9e
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  • Physics in medicine and biology
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  • 33032267
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  • 163
?:title
  • Severity assessment of COVID-19 using CT image features and laboratory indices.
?:type
?:year
  • 2021

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