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Applied Machine Learning for Spine Surgeons: Predicting Outcome for Patients Undergoing Treatment for Lumbar Disc Herniation Using PRO Data.

Casper Friis PedersenMikkel Østerheden AndersenLeah Yacat CarreonSøren Eiskjær
Published in: Global spine journal (2020)
Five predictive ML and 2 conventional models were developed, predicting improvement for LDH patients at the 1-year follow-up. We demonstrate that it is possible to build an ensemble of models with little effort as a starting point for further model optimization and selection.
Keyphrases
  • anti inflammatory
  • machine learning
  • patients undergoing
  • big data
  • minimally invasive
  • electronic health record
  • quality improvement
  • convolutional neural network
  • replacement therapy