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ICD-10-based machine learning classification model of left ventricular systolic dysfunction: a population-based risk stratification evaluation in 83,357 patients with acute coronary syndrome

9 May 2026 (08:00 - 12:45)
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Congress Presentation Part of: Digital detection and diagnostic pathways in heart failure Electronic Health Records & Hospital Information Systems Delegates Premium Access Heart Failure 2026 Heart Failure Association (HFA)

About the speaker

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Miss Andreea Eunice Cosa

Bellvitge Institute of Biomedical Research IDIBELL, Hospitalet de Llobregat (Spain)

6 More presentations in this session

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Relevance and feasibility of artificial intelligence-assisted echocardiography for left ventricular ejection fraction assessment in geriatric patients
Mr A. Hacil (Paris, FR)
Abstract
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Can decentralized community rapid cardiac ultrasound triage reduce carbon footprint? Environmental insights from the Heart2Miss study
Doctor J. Chunggat (Kuching, MY)
Abstract
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THINK-HF: development, feasibility, and usability study of an intelligent electronic health record integrated tool for early heart failure diagnosis in primary care
Mrs K. Barber (Leicester, GB)
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Addressing barriers to digital health technology adoption for cardiovascular disease prevention: preliminary findings from the ACHIEVE-Digital global qualitative survey
Miss J. Leroux (Montreal, CA)
Abstract
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Deep learning in primary care health records to predict incident heart failure from temporal and contextual representation of antecedent risk factors
Miss S. Mahapatra (Leeds, GB)
Abstract

Access the full session

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Digital detection and diagnostic pathways in heart failure

The Event

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Heart Failure 2026

9 May - 12 May 2026
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ESC 365 is supported by

novartis Explore sponsored resources