Machine learning approach on high risk treadmill exercise test to predict obstructive coronary artery disease by using P QRS and T waves features

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Machine learning approach on high risk treadmill exercise test to predict obstructive coronary artery disease by using P QRS and T waves features

Session: Clinical - Non invasive

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor L. Pay (Istanbul, TR)

Event: EHRA 2023

Congress Presentation

About the speaker

Doctor Levent Pay

HASEKI EDUCATION AND RESEARCH HOSPITAL, Istanbul (Türkiye)

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6 more presentations in this session

Evolution of surface and endocavitary signals in patients with arrhythmogenic cardiomyopathy at 1 and 5 years

Speaker: Doctor C. Martignani (Bologna, IT) Doctor A. Spadotto (Geneva, CH)

Left-to-right atrioventricular activation delay, a novel measure of AV-conduction, predicts clinical outcomes in non-LBBB patients

Speaker: Miss A. Beierle (Nauen, DE)

Non-invasive electrocardiographic mapping using an endo-epicardial system based on extracellular potentials shows better accuracy for atrial arrhythmias than ventricular arrhythmias.

Speaker: Doctor L. Parreira (Setubal, PT)

Prognostic significance of addition of electrocardiographic findings to the MAGGIC heart failure risk score

Speaker: Doctor O. Dogan (Istanbul, TR)

Single-lead ECGs with wearable technology: diagnostic accuracy in patients with cardiovascular disease

Speaker: Doctor A. Briosa E Gala (Oxford, GB)

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Clinical - Non invasive

Speakers: Doctor L. Pay, Doctor C. Martignani, Doctor A. Spadotto, Miss A. Beierle, Doctor L. Parreira...

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About the event

EHRA 2023

16 April - 18 April 2023

Sessions Presentations

Congress

Machine learning approach on high risk treadmill exercise test to predict obstructive coronary artery disease by using P QRS and T waves features

About the speaker

Doctor Levent Pay

6 more presentations in this session

Evolution of surface and endocavitary signals in patients with arrhythmogenic cardiomyopathy at 1 and 5 years

Left-to-right atrioventricular activation delay, a novel measure of AV-conduction, predicts clinical outcomes in non-LBBB patients

Non-invasive electrocardiographic mapping using an endo-epicardial system based on extracellular potentials shows better accuracy for atrial arrhythmias than ventricular arrhythmias.

Prognostic significance of addition of electrocardiographic findings to the MAGGIC heart failure risk score

Single-lead ECGs with wearable technology: diagnostic accuracy in patients with cardiovascular disease

Access the full session

Clinical - Non invasive

About the event

EHRA 2023

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