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Stanford Researchers Develop Algorithm to Diagnose Heart Arrhythmias

by Jasmine Pennic 07/10/2017 Leave a Comment

Stanford Researchers Develop Algorithm to Diagnose Heart Arrhythmias

Stanford researchers from the Machine Learning Group have developed an algorithm that is able to outperform cardiologists in arrhythmia detection, according to research published on arXiv. The new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias and has the ability to sort through data from rural locations where people do not have routine access to cardiologists.  Traditionally, patients suspected to have an arrhythmia will often get an electrocardiogram
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