Machine learning to aid in the diagnosis of acute heart failure in the emergency department

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Machine learning to aid in the diagnosis of acute heart failure in the emergency department

Session: Highlights from the Young in heart failure

Topic: Biomarkers

Speaker: Doctor D. Doudesis (Edinburgh, GB)

Event: ESC Congress 2021 - The Digital Experience

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Doctor Dimitrios Doudesis

University of Edinburgh, Edinburgh (United Kingdom of Great Britain & Northern Ireland)

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4 more presentations in this session

Implication of sphingolipid metabolism gene dysregulation and cardiac sphingosine-1-phosphate accumulation in heart failure

Speaker: Miss L. Perez Carrillo (Valencia, ES)

Age- and Sex-Specific Rates of Heart Failure and other Adverse Cardiovascular Outcomes in Systemic Sclerosis

Speaker: Doctor G. Sun (Copenhagen, DK)

Applying the ESC 2016, the H2FPEF, and the HFA-PEFF diagnostic algorithms for heart failure with preserved ejection fraction to the general population - a comparative approach

Speaker: Doctor J. Nikorowitsch (Hamburg, DE)

New foundational therapy in heart failure with reduced ejection fraction: should we keep following the 2016 European Society of Cardiology Heart Failure Guideline in 2021?

Speaker: Doctor J. Brito (Lisbon, PT)

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Highlights from the Young in heart failure

Speakers: Doctor D. Doudesis, Miss L. Perez Carrillo, Doctor G. Sun, Doctor J. Nikorowitsch, Doctor J. Brito

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About the event

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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