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

FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. BACKGROUND/INTRODUCTION: Treadmill Exercise Test (TET) application in terms of detecting Obstructive Coronary Artery Disease is defined to be limited due to low sensitivity and specificity rates. TET results and patients' clinical symptom...

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Detalles Bibliográficos
Autores principales: Yilmaz, A Y, Hayiroglu, M I H, Salturk, S S, Pay, L P, Demircali, A A D, Coskun, C C, Varol, R V, Tezen, O T, Eren, S E, Cetin, T C, Tekkesin, A I T, Uvet, H U
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
38.3 - Artificial Intelligence (Machine Learning, Deep Learning)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207253/
http://dx.doi.org/10.1093/europace/euad122.529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207253/
http://dx.doi.org/10.1093/europace/euad122.529

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