This paper is in the following e-collection/theme issue:

Artificial Intelligence (1216) Machine Learning (1401) Decision Support for Health Professionals (1147) Perioperative Risk Assessment (13) Artificial Intelligence in Surgery and Perioperative Medicine (24) Clinical Information and Decision Making (1340)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26843, first published .
Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study

Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study

Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study

Authors of this article:

Syed Asil Ali Naqvi1 Author Orcid Image ;   Karthik Tennankore2 Author Orcid Image ;   Amanda Vinson2 Author Orcid Image ;   Patrice C Roy1 Author Orcid Image ;   Syed Sibte Raza Abidi1 Author Orcid Image
Article Authors Cited by (19) Tweetations (16) Metrics

Syed Asil Ali Naqvi   1 , MCS ;   Karthik Tennankore   2 , MD ;   Amanda Vinson   2 , MD ;   Patrice C Roy   1 , PhD ;   Syed Sibte Raza Abidi   1 , PhD

1 Department of Computer Science, Dalhousie University, Halifax, NS, Canada

2 Division of Nephrology, Dalhousie University, Halifax, NS, Canada

Corresponding Author:

  • Syed Asil Ali Naqvi, MCS
  • Department of Computer Science
  • Dalhousie University
  • Goldberg Computer Science Bldg
  • 6050 University Ave
  • Halifax, NS, B3H 1W5
  • Canada
  • Phone: 1 9023290504
  • Email: a.naqvi@dal.ca