Development of Machine Learning-Based Models to Predict Treatment Response to Spinal Cord Stimulation.

This combined unsupervised-supervised learning approach yielded high predictive performance, suggesting that advanced ML-derived approaches have potential to be used as a functional clinical tool to improve long-term SCS outcomes. Further studies are needed for optimization and external validation of these models.