S. Hasan Ali

Nov 13, 2023 | biorxiv.org | Tyler Mari |Jessica Henderson |S. Hasan Ali |Danielle Hewitt

AbstractPrevious research has predicted subjective pain intensity from electroencephalographic (EEG) data using machine learning (ML) models. However, there is a paucity of externally validated ML models for pain assessment, particularly for continuous pain prediction (e.g., decoding pain ratings on a 101-point scale). We aimed to conduct the first external validation paradigm for ML regression models for pain intensity prediction from EEG data.