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, United States

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

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

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

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

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

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

*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, 72205
  • United States
  • Phone: 1 5016131443
  • Email: ssyed@uams.edu