Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients.

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Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients.

Session: Differences in the management and outcomes in congenital versus acquired heart disease

Topic: Clinical

Speaker: Professor G. Diller (Muenster, DE)

Event: ESC Congress 2019

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About the speaker

Professor Gerhard Paul Diller

University Hospital Munster - UKM, Muenster (Germany)

14 presentations

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4 more presentations in this session

State of the Art in adult congenital heart disease care

Speaker: Professor E. Oechslin (Toronto, CA)

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Infective endocarditis in patients with congenital heart disease: Results of a nationwide study including 1494 endocarditis cases.

Speaker: Professor G. Diller (Muenster, DE)

Predictors of perioperative mortality in adults with congenital heart disease (ACHD): utility of the EuroSCORE and creation of an ACHD-specific score

Speaker: Doctor G. Costola (London, GB)

Experience from heart or heart/lung transplantation from a single centre for adult congenital heart disease: too little, too late?

Speaker: Mr P. Meras Colunga (Madrid, ES)

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Differences in the management and outcomes in congenital versus acquired heart disease

Speakers: Professor G. Diller, Professor E. Oechslin, Professor G. Diller, Doctor G. Costola, Mr P. Meras Colunga

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About the event

ESC Congress 2019

31 August - 4 September 2019

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