Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25187, first published .
Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review

Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review

Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review

Sankavi Muralitharan   1, 2 , MPharm, MSc ;   Walter Nelson   1 * , BSc ;   Shuang Di   1, 3 * , BSc, MEd, MSc ;   Michael McGillion   4, 5 , BScN, PhD ;   PJ Devereaux   5, 6 , MD, PhD, FRCPC ;   Neil Grant Barr   7 , BA, MSc, PhD ;   Jeremy Petch   1, 5, 8, 9 , HBA, MA, PhD

1 Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada

2 DeGroote School of Business, McMaster University, Hamilton, ON, Canada

3 Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

4 School of Nursing, McMaster University, Hamilton, ON, Canada

5 Population Health Research Institute, Hamilton, ON, Canada

6 Departments of Health Evidence and Impact and Medicine, McMaster University, Hamilton, ON, Canada

7 Health Policy and Management, DeGroote School of Business, McMaster University, Hamilton, ON, Canada

8 Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada

9 Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada

*these authors contributed equally

Corresponding Author:

  • Sankavi Muralitharan, MPharm, MSc
  • Centre for Data Science and Digital Health
  • Hamilton Health Sciences
  • 293 Wellington St. N
  • Hamilton, ON, L8L 8E7
  • Canada
  • Phone: 1 2897882965
  • Email: sankavi_22@hotmail.com