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Ming Xu

Jiangsu Provincial Center for Disease Control and Prevention - Institute of HIV/AIDS/STI Prevention and Control

China

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Scholarly Papers (1)

1.

An Interpretable Machine Learning Framework for Accurate Severe vs Non-Severe COVID-19 Clinical Type Classification

Number of pages: 24 Posted: 02 Oct 2020
Public Health Research Institute of Jiangsu Province, Huazhong University of Science and Technology - Department of Orthopedics, Iowa State University - Department of Computer Science, Affiliated Kunshan Hospital of Jiangsu University - Department of Pediatrics, Jiangsu Provincial Center for Disease Control and Prevention - Institute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention - Institute of HIV/AIDS/STI Prevention and Control, University of North Carolina at Charlotte - Department of Software and Information Systems, The University of North Carolina at Charlotte - Department of Public Health Sciences, Jiangsu Provincial Center for Disease Control and Prevention - Institute of HIV/AIDS/STI Prevention and Control, Huazhong University of Science and Technology - Department of Radiology and The University of North Carolina at Charlotte - Department of Public Health Sciences
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Abstract:

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COVID-19, machine learning, supervised learning, clinical classification