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Tianqi Xie

University of Pittsburgh - School of Computing and Information

135 N Bellefield Ave.

Pittsburgh, PA 15213

United States

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Severity Detection For the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests

Number of pages: 27 Posted: 09 Apr 2020
Nan Zhang, Ruochi Zhang, Haochen Yao, Hong Xu, Meiyu Duan, Tianqi Xie, Jiahui Pan, E’jun Peng, Juanjuan Huang, Yingli Zhang, Xiaoming Xu, Fengfeng Zhou and Guoqing Wang
Jilin University (JLU) - First Hospital, Jilin University (JLU) - Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University (JLU) - Department of Pathogenobiology, Jilin University (JLU) - First Hospital, Jilin University (JLU) - BioKnow Health Informatics Laboratory, University of Pittsburgh - School of Computing and Information, Jilin University (JLU) - Department of Pathogenobiology, Huazhong University of Science and Technology - Department of Urology, Jilin University (JLU) - Department of Pathogenobiology, Jilin University (JLU) - First Hospital, Jilin University (JLU) - First Hospital, Jilin University (JLU) - BioKnow Health Informatics Laboratory and Jilin University (JLU) - Department of Pathogenobiology
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COVID-19; Severity detection; Machine learning model; blood and urine tests