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Haochen Yao
Jilin University (JLU) - Department of Pathogenobiology
Jilin, Changchun
China
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
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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Abstract:
COVID-19; Severity detection; Machine learning model; blood and urine tests
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