Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience

Hardik Raipal, Madalina Sas, Chris Lockwood, Rebecca Joakim, Nicholas S. Peters, Max Falkenberg. Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience. In Computing in Cardiology, CinC 2020, Rimini, Italy, September 13-16, 2020. pages 1-4, IEEE, 2020. [doi]

Abstract

Abstract is missing.