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

Machine Learning ‘Sniffs’ Out Long QT Otherwise Unseen on ECG This tool, which mines ECG data beyond what the clinician can see, will likely ease the identification of other cardiac conditions.

Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...

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

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 ...