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Practical use case of natural language processing for comprehensive atrial fibrillation cohort characterization from electronic health records in Poland.

7 April 2024 (08:30 - 15:00)
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Congress Presentation Part of: eCardiology 1 Big Data EHRA Premium Access EHRA 2024 European Heart Rhythm Association (EHRA)

About the speaker

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Doctor Cezary Maciejewski

Medical University of Warsaw, Warsaw (Poland)

8 More presentations in this session

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Changes in public interest in sudden cardiac arrest: a big data analysis
Doctor J. Han (Los Angeles, US)
Abstract Slides Video
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Results of external validation for anatomical site recognition of ablation sites in atrial fibrillation using the CARTONET R12 model
Assistant Professor W. sasaki (Hidaka, JP)
Abstract Slides Video
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Artificial intelligence-estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablations
Doctor H. Park (Seoul, KR)
Abstract Slides Video
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Twelve-lead electrocardiography-based artificial intelligence predicts the upcoming future of patients with heart failure with mildly reduced ejection fraction
Mr S. Lee (Incheon, KR)
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Recognition of Brugada type 1 pattern on ECG by Echo State Networks
Mr F. Vozzi (Pisa, IT)
Abstract Slides Video

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eCardiology 1

The Event

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EHRA 2024

7 April - 9 April 2024
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