A machine learning approach for predictive models of adverse events following spine surgery.
Journal:
The spine journal : official journal of the North American Spine Society
Published Date:
Jun 20, 2019
Abstract
BACKGROUND: Rates of adverse events following spine surgery vary widely by patient-, diagnosis-, and procedure-related factors. It is critical to understand the expected rates of complications and to be able to implement targeted efforts at limiting these events.