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