ESC 365 - A flexible, calibrated transformer-based risk model for prediction of clinical outcomes in patients with heart failure; an open cohort study using linked UK EHR

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A flexible, calibrated transformer-based risk model for prediction of clinical outcomes in patients with heart failure; an open cohort study using linked UK EHR

Session: Models to predict unfavourable outcomes in heart failure

Topic: Epidemiology, Prognosis, Outcome

Speaker: Doctor S. Rao (Oxford, GB)

Event: ESC Congress 2024

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About the speaker

Doctor Shishir Rao

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

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8 more presentations in this session

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Explainable machine learning and multi-modal data for predicting readmission in patients with heart failure

Speaker: Ms R. Chae (US)

Prognostic implications of genotype findings in non-ischemic dilated cardiomyopathy: a network meta-analysis

Speaker: Doctor V. Anastasiou (Thessaloniki, GR)

Development and validation of a predicting model for risk of mortality in heart failure patients with mildly reduced ejection fraction post discharge

Speaker: Professor Y. Zhu (Xiangtan, CN)

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Models to predict unfavourable outcomes in heart failure

Speakers: Doctor S. Rao, Mr J. Navarro, Doctor M. Nakao, Ms R. Chae, Doctor V. Anastasiou...

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ESC Congress 2024

30 August - 2 September 2024

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