1. A method for automating the identification of meaningful features and the formulation of expert rules for classifying magnetocardiography data, comprising: applying a direct kernel transform to sensed data acquired from sensors sensing magnetic fields generated by a patient's heart activity, resulting in transformed data; and identifying said meaningful features and formulating said expert rules from said transformed data, using machine learning.