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A new epidemiological approach using machine learning based on medico-administrative database: automatic identification and prevalence estimation in heart failure

27 August 2021 (08:00 - 20:00)
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Congress Presentation Part of: Research Methodology ePosters Big Data Analysis ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

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Doctor Hazrije Mustafic

Pitie Salpetriere APHP University Hospital, Paris (France)

14 More presentations in this session

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Protocol design and preliminary evaluation of the REAL-Health Triple Aim, an open-cohort CVD-care optimisation initiative.
Doctor S. Rison (London, GB)
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Temporal shift and accuracy of machine learning in heart transplant outcomes
Mr F. Sabovcik (Leuven, BE)
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Temporal trends in the inclusion of patient-reported outcomes in heart failure randomized trials published in high-impact medical journals: a systematic bibliometric review
Mr Y. Eliya (Hamilton, CA)
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Validity and reliability of a clinical non-exercise method for assessment of cardiorespiratory fitness using seismocardiography
Miss A. Hoejgaard (Copenhagen, DK)
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RESONANCE Registry: rationale and design of the retrospective and prospective longitudinal, observational registry in pediatric and adult patients with recurrent pericarditis
Doctor A. Reid (Hemel Hempstead, GB)
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Research Methodology ePosters

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ESC Congress 2021 - The Digital Experience

27 August 2021 08:00 CET
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