An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation.
Rodney Allanigue GabrielBhavya HarjaiSierra SimpsonAustin Liu DuJeffrey Logan TullyOlivier GeorgeRuth S WatermanPublished in: JMIR perioperative medicine (2023)
Using ensemble learning-based predictive models, specifically XGBoost regression, can improve the accuracy of the estimation of spine surgery times.