ESC 365 - Prediction of outcomes after heart transplantation by machine learning models

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Prediction of outcomes after heart transplantation by machine learning models

Session: New frontiers in devices and transplantation

Topic: Heart Transplantation

Speaker: Associate Professor A. Briasoulis (Athens, GR)

Event: ESC Congress 2021 - The Digital Experience

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About the speaker

Associate Professor Alexandros Briasoulis

National & Kapodistrian University of Athens Medical School, Athens (Greece)

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4 more presentations in this session

Dynamic optimization of CRT pacing using a novel algorithm improves survival in a real-world cohort of patients

Speaker: Doctor M. Gold (Charleston, US)

Quantification of device-related event reports associated with the CardioMEMS Heart Failure System

Speaker: Doctor A. Lin (San Francisco, US)

Twenty-year temporal and regional trends in heart transplantation in Europe: results from the Global Observatory on Donation and Transplantation (GODT)

Speaker: Doctor Y. Manla (Los Angeles, US)

Changing demographics, temporal trend in waitlist and post-transplant outcomes after heart transplantation in the United States: analysis of unos database 1991-2019

Speaker: Assistant Professor A. Briasoulis (Athens, GR)

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New frontiers in devices and transplantation

Speakers: Associate Professor A. Briasoulis, Doctor M. Gold, Doctor A. Lin, Doctor Y. Manla, Assistant Professor A. Briasoulis

About the event

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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