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Guoqing Wang

Jilin University (JLU) - Department of Pathogenobiology

Jilin, Changchun

China

SCHOLARLY PAPERS

2

DOWNLOADS

328

TOTAL CITATIONS

1

Scholarly Papers (2)

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
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
Downloads 250 (304,988)
Citation 1

Abstract:

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COVID-19; Severity detection; Machine learning model; blood and urine tests

2.

Epidemiologic and Clinical Characteristics of 42 Deaths Due to SARS-CoV-2 Infection in Wuhan, China: A Retrospective Study

Number of pages: 19 Posted: 08 Apr 2020
Jilin University (JLU) - First Hospital, Jilin University (JLU) - Key Laboratory of Pathobiology, Jilin University (JLU) - Key Laboratory of Pathobiology, Huazhong University of Science and Technology - Department of Urology, Jilin University (JLU) - Key Laboratory of Pathobiology, Jilin University (JLU) - First Hospital, Jilin University (JLU) - First Hospital, Sun Yat-sen University (SYSU) - Zhongshan School of Medicine, Jilin University (JLU) - First Hospital and Jilin University (JLU) - Department of Pathogenobiology
Downloads 78 (816,709)

Abstract:

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SARS-CoV-2; Death cases; Epidemiology; Clinical characteristics; Risk factors