Machine learning based risk stratification of patients undergoing cardiac resynchronization therapy

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Machine learning based risk stratification of patients undergoing cardiac resynchronization therapy

Session: Rapid Fire 6 - Risk stratification and prognosis

Topic: Cardiac Resynchronisation Therapy (CRT)

Speaker: Doctor M. Tokodi (Budapest, HU)

Event: Heart Failure 2019

Congress Presentation

About the speaker

Doctor Marton Tokodi

Semmelweis University Heart and Vascular Center, Budapest (Hungary)

1 presentation

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Access the full session

Rapid Fire 6 - Risk stratification and prognosis

Speakers: Doctor M. Tokodi, Assistant Professor M. Canepa, Doctor A. Sammani, Doctor M. Kim, Associate Professor E. Zima...

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About the event

Heart Failure 2019

25 May - 28 May 2019

Sessions Presentations

Congress

Machine learning based risk stratification of patients undergoing cardiac resynchronization therapy

About the speaker

Doctor Marton Tokodi

14 more presentations in this session

Prognostic impact of ICD interventions in a real-world primary and secondary prevention population

Predicting arrhythmic risk in dilated cardiomyopathy: a meta-analysis of clinical parameter

Serial change of Layer-specific myocardial functionby Chemotherapy in Breast cancer patients

Forecast of mOrtality Risk Early in the postCardiac Arrest Syndrome Therapy: pilot score for estimate early mortality in post cardiac arrest syndrome patient population

Early heart remodeling in type 1 diabetes patients: possible phenotypes

Access the full session

Rapid Fire 6 - Risk stratification and prognosis

About the event

Heart Failure 2019

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