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Risk prediction models for incident heart failure: a systematic review and meta-analysis

Session: Models to predict unfavourable outcomes in heart failure
Topic: Epidemiology, Prognosis, Outcome
Speaker: Mr J. Navarro (Toronto, CA)
Event: ESC Congress 2024

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Mr Jose Miguel Navarro

Toronto (Canada)
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8 more presentations in this session

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

Speaker: Doctor S. Rao (Oxford, GB)

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Prognostic value of reticulocyte production ability in patients with chronic heart failure

Speaker: Doctor M. Nakao (Sapporo, JP)

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

Speaker: Ms R. Chae (US)

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

Speaker: Doctor V. Anastasiou (Thessaloniki, GR)

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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: Mr J. Navarro, Doctor S. Rao, 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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