In this study, we developed and evaluated a DL-based model that has a feature extraction stage, an ECG-lead subset selection stage and a decision-making stage to automatically interpret multiple ...

This data was used to develop a machine learning (ML)-based real-time predictive model for sudden cardiac arrest predictions in critical care settings.

Study: Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction. Image Credit: vchal / Shutterstock.com Challenges in the timely diagnosis of OMI ST is a ...

The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.