AI RESEARCH
A Machine Learning Framework for EEG-Based Prediction of Treatment Efficacy in Chronic Neck Pain
arXiv CS.LG
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ArXi:2605.16326v1 Announce Type: cross Chronic neck pain is a leading cause of disability worldwide, and current treatment selection remains largely trial and error. We present a machine learning framework that uses electroencephalography to predict treatment efficacy in patients with chronic neck pain, with the goal of ing individualized therapy and reducing the burden on healthcare systems. The framework centers on a rigorous data preprocessing stage tailored to the characteristics of each EEG recording type.