Explore a compelling lecture on machine learning applications for predicting sudden cardiac death using ECG waveforms. Delivered by Ziad Obermeyer as part of the EWSC-MIT EECS Joint Colloquium Series, this 69-minute presentation delves into the intersection of artificial intelligence and cardiovascular health. Gain insights into how advanced machine learning techniques are being employed to analyze electrocardiogram data and potentially revolutionize the prediction and prevention of sudden cardiac events. Learn about the latest developments in this critical area of biomedical research and understand how AI is driving novel approaches to tackle pressing healthcare challenges. Suitable for those interested in machine learning, cardiology, and the future of personalized medicine.
Machine Learning about Sudden Cardiac Death from ECG Waveforms
Overview
Syllabus
EWSC: Machine Learning about Sudden Cardiac Death from ECG Waveforms, Ziad Obermeyer
Taught by
Broad Institute
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