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Doctor Alejandra Frauenfelder

Lumen Foundation, Miami (United States of America)

Increasing the accuracy of a machine learning algorithm for stemi diagnosis by incorporating demographic variables

Event: ESC CONGRESS 2019

Topic: Epidemiology, Prognosis, Outcome

Session: Acute Coronary Syndromes - Risk stratification, machine learning

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Validating the diagnostic value of a machine learning algorithm for stemi detection

Event: ESC CONGRESS 2019

Topic: Cardiovascular Signal Processing

Session: Computational cardiology

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Women are from venus and face barriers for ami treatment

Event: ESC CONGRESS 2019

Topic: Cardiovascular Disease in Women

Session: Risk Factors and Prevention, Cardiovascular Disease in Special Populations

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Can physicians trust a machine learning algorithm to diagnose st elevation myocardial infarction?

Event: ESC CONGRESS 2019

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Remote patient monitoring and telemedicine

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Merging technologies to provide Mexico an innovative nationwide ami management network.

Event: ESC CONGRESS 2019

Topic: Telehealth

Session: Digital health

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