Machine-Learning-Based Diagnostics of EEG Pathology.

Link – Machine-Learning-Based Diagnostics of EEG Pathology. Abstract Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be categorized into feature-based (with handcrafted features), and end-to-end approaches (with learned features). Previous studies on EEG pathology decoding have typically analyzed a limited number of features, decoders, or both. For a I) […]

ML Approach for Human Pain Biomarker Identification using fNIRS.

Link – A Machine Learning Approach for the Identification of a Biomarker of Human Pain using fNIRS. Sci Rep. 2019 Apr 04;9(1):5645 Authors: Fernandez Rojas R, Huang X, Ou KL Abstract Pain is a highly unpleasant sensory and emotional experience, and no objective diagnosis test exists to assess it. In clinical practice there are two […]