Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39650, first published .
An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation

An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation

An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation

Rodney Allanigue Gabriel   1, 2 , MD, MAS ;   Bhavya Harjai   2 , BS ;   Sierra Simpson   2 , PhD ;   Austin Liu Du   3 , BS ;   Jeffrey Logan Tully   2 , MD ;   Olivier George   4 , PhD ;   Ruth Waterman   5 , MD

1 Division of Biomedical Informatics, Department of Medicine, University of California, San Diego, San Diego, CA, United States

2 Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, San Diego, CA, United States

3 School of Medicine, University of California, San Diego, San Diego, CA, United States

4 Department of Psychiatry, University of California, San Diego, San Diego, CA, United States

5 Department of Anesthesiology, University of California, San Diego, San Diego, CA, United States

Corresponding Author:

  • Rodney Allanigue Gabriel, MD, MAS
  • Division of Biomedical Informatics
  • Department of Medicine
  • University of California, San Diego
  • 9300 Campus Point Dr
  • San Diego, CA, 92037
  • United States
  • Phone: 1 858-657-7000
  • Email: ragabriel@health.ucsd.edu