Improving Generalization of Deep Models for Cardiac Disease Detection Using Limited Channel ECG
Abstract
Acceleration of machine learning research in healthcare is challenged by lack of large annotated and balanced datasets. Furthermore, dealing with measurement inaccuracies and exploiting unsupervised data are considered to be central to improving existing solutions. In particular, a primary objective in predictive modeling is to generalize well to both unseen variations within the observed classes, and unseen classes. In this work, we consider...
Paper Details
Title
Improving Generalization of Deep Models for Cardiac Disease Detection Using Limited Channel ECG
Published Date
Dec 30, 2018
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