ESC 365 - Comprehensive machine learning models for prediction of heart failure in 476,393 women and men from the UK Biobank reveal sex differences and underutilized risk factors

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Comprehensive machine learning models for prediction of heart failure in 476,393 women and men from the UK Biobank reveal sex differences and underutilized risk factors

Session: Contemporary epidemiology of worsening heart failure

Topic: Epidemiology, Prognosis, Outcome

Speaker: Mr T. Kok (Rotterdam, NL)

Event: ESC Congress 2024

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Mr Thomas Frederik Kok

Erasmus University Rotterdam, Rotterdam (Netherlands (The))

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Contemporary epidemiology of worsening heart failure

Speakers: Mr T. Kok, Professor M. Jessup, Mr R. Fletcher, Doctor S. Greene, Doctor R. Fukuoka

About the event

ESC Congress 2024

30 August - 2 September 2024

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