Evaluation of machine learning solutions in medicine.

Abstract

Authors

• Tony Antoniou
  Li Ka Shing Centre for Healthcare Analytics Research & Training (Antoniou, Mamdani), Unity Health Toronto; Li Ka Shing Knowledge Institute (Antoniou, Mamdani), Unity Health Toronto; Department of Family and Community Medicine (Antoniou), Unity Health Toronto and University of Toronto; Temerty Faculty of Medicine (Mamdani) and Leslie Dan Faculty of Pharmacy (Mamdani), University of Toronto; Institute of Health Policy, Management, and Evaluation (Mamdani), University of Toronto, Toronto, Ont. tony.antoniou@unityhealth.to.
• Muhammad Mamdani
  Unity Health Toronto (Verma, Murray, Straus, Pou-Prom, Mamdani); Li Ka Shing Knowledge Institute of St. Michael's Hospital (Verma, Straus, Pou-Prom, Mamdani); Department of Medicine (Verma, Shojania, Straus, Mamdani) and Institute of Health Policy, Management, and Evaluation (Verma, Mamdani) and Department of Statistics (Murray), University of Toronto, Toronto, Ont.; University of Alberta (Greiner); Alberta Machine Intelligence Institute (Greiner), Edmonton, Alta.; Montreal Institute for Learning Algorithms (Cohen), Montréal, Que.; Centre for Quality Improvement and Patient Safety (Shojania), University of Toronto; Sunnybrook Health Sciences Centre (Shojania); Vector Institute (Ghassemi, Mamdani) and Department of Computer Science (Ghassemi); Leslie Dan Faculty of Pharmacy (Mamdani), University of Toronto, Toronto, Ont.; Department of Radiology, Stanford University (Cohen), Stanford, Calif. muhammad.mamdani@unityhealth.to amol.verma@mail.utoronto.ca.

Keywords

External Resources