Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23948, first published .
A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation

A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation

A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation

Authors of this article:

Yuanfang Chen 1, 2 Author Orcid Image ;   Liu Ouyang 3 Author Orcid Image ;   Forrest S Bao 4 Author Orcid Image ;   Qian Li 5 Author Orcid Image ;   Lei Han 1, 6 Author Orcid Image ;   Hengdong Zhang 1, 6 Author Orcid Image ;   Baoli Zhu 1, 6, 7 Author Orcid Image ;   Yaorong Ge 8 Author Orcid Image ;   Patrick Robinson 9 Author Orcid Image ;   Ming Xu 1, 6, 9 Author Orcid Image ;   Jie Liu 10 Author Orcid Image ;   Shi Chen 9, 11 Author Orcid Image
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Yuanfang Chen 1, 2*, MSc;  Liu Ouyang 3*, MD;  Forrest S Bao 4*, PhD;  Qian Li 5*, MD;  Lei Han 1, 6*, MD, PhD;  Hengdong Zhang 1, 6, MD, PhD;  Baoli Zhu 1, 6, 7, MSc;  Yaorong Ge 8, PhD;  Patrick Robinson 9, MD;  Ming Xu 1, 6, 9, MD, PhD;  Jie Liu 10, MD, PhD;  Shi Chen 9, 11, PhD

1 Public Health Research Institute of Jiangsu Province , Nanjing , CN

2 Institute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention , Nanjing , CN

3 Department of Orthopaedics, Union Hospital, Huazhong University of Science and Technology, Wuhan , CN

4 Department of Computer Science, Iowa State University , Ames, IA, US

5 Department of Pediatrics, Affiliated Kunshan Hospital of Jiangsu University , Kunshan , CN

6 Department of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention , Nanjing , CN

7 School of Public health, Nanjing Medical University , Nanjing , CN

8 Department of Software and Information Systems, University of North Carolina at Charlotte , Charlotte, NC, US

9 Department of Public Health Sciences, University of North Carolina at Charlotte , Charlotte, NC, US

10 Department of Radiology, Union Hospital, Huazhong University of Science and Technology, Wuhan , CN

11 School of Data Science, University of North Carolina at Charlotte , Charlotte, NC, US

*these authors contributed equally

Corresponding Author:

  • Ming Xu, MD, PhD
  • Department of Occupational Disease Prevention
  • Jiangsu Provincial Center for Disease Control and Prevention
  • 172 Jiangsu Road
  • Nanjing
  • CN
  • Phone: 86 85393210
  • Email: sosolou@126.com