An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation
JMIR Perioperative Medicine2022Vol. 6, pp. e39650–e39650
Citations Over TimeTop 10% of 2022 papers
Rodney A. Gabriel, Bhavya Harjai, Sierra Simpson, Austin L. Du, Jeffrey Tully, Olivier George, Ruth S. Waterman
Abstract
Using ensemble learning-based predictive models, specifically XGBoost regression, can improve the accuracy of the estimation of spine surgery times.
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