Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23811, first published .
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

Hafsa Bareen Syeda 1*, MD;  Mahanazuddin Syed 2*, MS;  Kevin Wayne Sexton 2, 3, 4, MD;  Shorabuddin Syed 2, MS;  Salma Begum 5, MS;  Farhanuddin Syed 6, MD;  Fred Prior 2, 7, PhD;  Feliciano Yu Jr 2, MD

1 Department of Neurology, University of Arkansas for Medical Sciences , Little Rock, AR, US

2 Department of Biomedical Informatics, University of Arkansas for Medical Sciences , Little Rock, AR, US

3 Department of Surgery, University of Arkansas for Medical Sciences , Little Rock, AR, US

4 Department of Health Policy and Management, University of Arkansas for Medical Sciences , Little Rock, AR, US

5 Department of Information Technology, University of Arkansas for Medical Sciences , Little Rock, AR, US

6 College of Medicine, Shadan Institute of Medical Sciences , Hyderabad , IN

7 Department of Radiology, University of Arkansas for Medical Sciences , Little Rock, AR, US

*these authors contributed equally

Corresponding Author:

  • Shorabuddin Syed, MS
  • Department of Biomedical Informatics
  • University of Arkansas for Medical Sciences
  • 4301 W Markham #469
  • Little Rock, AR
  • US
  • Phone: 1 5016131443
  • Email: ssyed@uams.edu