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Machine learning based risk stratification of patients undergoing cardiac resynchronization therapy

25 May 2019 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: Rapid Fire 6 - Risk stratification and prognosis Cardiac Resynchronisation Therapy (CRT) HFA Premium Access Heart Failure 2019

About the speaker

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Doctor Marton Tokodi

Semmelweis University, Budapest (Hungary)

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Predicting arrhythmic risk in dilated cardiomyopathy: a meta-analysis of clinical parameter
Doctor A. Sammani (Utrecht, NL)
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Serial change of Layer-specific myocardial functionby Chemotherapy in Breast cancer patients
Doctor M. Kim (Seoul, KR)
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Forecast of mOrtality Risk Early in the postCardiac Arrest Syndrome Therapy: pilot score for estimate early mortality in post cardiac arrest syndrome patient population
Associate Professor E. Zima (Budapest, HU)
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Early heart remodeling in type 1 diabetes patients: possible phenotypes
Miss N. Safarova (Berlin, DE)
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Access the full session

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Rapid Fire 6 - Risk stratification and prognosis

The Event

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Heart Failure 2019

25 May - 28 May 2019
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ESC 365 is supported by

novartis Explore sponsored resources