Applied Machine Learning for Spine Surgeons: Predicting Outcome for Patients Undergoing Treatment for Lumbar Disc Herniation (LDH)

Description

Five machine learning (ML) and two conventional predictive models for achieving MCID was constructed with 1.968 LDH patients. Predictive performance was compared across models for EQ-5D, ODI, VAS leg, VAS back and Return to Work. ML models did not yield overall superior performance compared with conventional models.

Period	29. Oct 2021
Event title	Dansk Rygkirurgisk Selskabs Årsmøde
Event type	Conference
Location	Kolding, DenmarkShow on map
Degree of Recognition	National