Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach.

Journal: Journal of medical Internet research
Published Date: Jan 6, 2021

Abstract

BACKGROUND: Effectively identifying patients with COVID-19 using nonpolymerase chain reaction biomedical data is critical for achieving optimal clinical outcomes. Currently, there is a lack of comprehensive understanding in various biomedical features and appropriate analytical approaches for enabling the early detection and effective diagnosis of patients with COVID-19.

Authors

  • Ming Xu
    Shenyang Analytical Application Center, Shimadzu (China) Co. Ltd., Shenyang, 167 Qingnian Street, Shenyang, 110016, PR China.
  • Liu Ouyang
    Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Lei Han
    Jiangsu Province Center for Disease Prevention and Control, Institute of Occupational Disease Prevention, Nanjing, Jiangsu, China.
  • Kai Sun
    Department of Materials Science and Engineering, Jinan University.
  • Tingting Yu
    Hubei Provincial Institute for Food Supervision and Test, Hubei Provincial Engineering and Technology Research Center for Food Quality and Safety Test, Wuhan 430075, China.
  • Qian Li
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Hua Tian
  • Lida Safarnejad
    School of Medicine, Stanford University, Stanford, CA, United States.
  • Hengdong Zhang
    Department of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Yue Gao
    Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
  • Forrest Sheng Bao
  • Yuanfang Chen
    Institute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Patrick Robinson
    Department of Public Health Sciences, College of Health and Human Services, University of North Carolina Charlotte, Charlotte, NC, United States.
  • Yaorong Ge
    Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, NC, United States.
  • Baoli Zhu
    School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Shi Chen
    Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.

Keywords

External Resources

Popular Topics
Recent Journals