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Accuracy of machine learning techniques to predict stress echocardiography results using clinical variables

30 August 2024 (12:00 - 12:50)
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Congress Presentation Part of: Anatomic and physiological considerations in coronary syndromes Chronic Ischaemia ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Ugochukwu Ihekwaba

Milton Keynes unihospital, Milton Keynes (United Kingdom of Great Britain & Northern Ireland)

7 More presentations in this session

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Chronic Coronary Syndromes with/without obstructive coronary arteries: are there differences in ongoing chest pain?
Ms S. La (Adelaide, AU)
Abstract Slides
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Diastolic hyperemia-free ratio for the assessment of intermediate coronary artery stenosis in patients with hemodialysis
Mr H. Nohara (Sakai, JP)
Abstract Slides Video
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Initial results of the READY registry: comparison of visual and physiological lesion characterization and the effect of hydrostatic pressure correction
Doctor A. Agoston (Nyiregyhaza, HU)
Abstract Slides Video
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ClinicAl verSus algorIthmic predictioN of Obstructive Coronary Artery Disease - the CASINO study
Doctor M. Paiva (Lisbon, PT)
Abstract Slides Video
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Testing the accuracy of automatic ECG-annotation for suspected acute coronary syndrome
Doctor L. Sams (Munich, DE)
Abstract Slides Video

Access the full session

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Anatomic and physiological considerations in coronary syndromes

The Event

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ESC Congress 2024

30 August 2024 12:00 CET
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novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources