Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Abstract

Authors

• Ben Li
  School of Public Health, Shanxi Medical University, Taiyuan 030000, China. Electronic address: LBen@sxmu.edu.cn.
• Naomi Eisenberg
  Division of Vascular Surgery, Peter Munk Cardiac Centre, University Health Network, Toronto, Canada.
• Derek Beaton
  Data Science & Advanced Analytics, Unity Health Toronto University of Toronto Toronto Canada.
• Douglas S Lee
  Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada; Institute for Health Policy, Management and Evaluation, Toronto, Ontario, Canada; Toronto General Hospital Research Institute, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada. Electronic address: dlee@ices.on.ca.
• Badr Aljabri
  Department of Surgery King Saud University Riyadh Saudi Arabia.
• Leen Al-Omran
  School of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
• Duminda N Wijeysundera
  Institute of Health Policy, Management and Evaluation, University of Toronto Toronto Canada.
• Ori D Rotstein
  Department of Surgery, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Division of General Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
• Thomas F Lindsay
  Department of Surgery University of Toronto Toronto Canada.
• Charles de Mestral
  Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Canada.
• 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.
• Graham Roche-Nagle
  Department of Surgery, University of Toronto, Toronto, Canada; Division of Vascular Surgery, Peter Munk Cardiac Centre, University Health Network, Toronto, Canada; Division of Vascular and Interventional Radiology, University Health Network, Toronto, Canada.
• Mohammed Al-Omran
  Department of Surgery University of Toronto Canada.

Keywords

External Resources