Model Design to Analyse Coronary Artery Disease Using Machine Learning Techniques (MDACADMLT)
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3761-5_22
Reference16 articles.
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4. Alizadehsani R, Abdar M, Roshanzamir M, Khosravi A, Kebria PM, Khozeimeh F, Nahavandi S, Sarrafzadegan N, Rajendra Acharya U (2019) Machine learning-based coronary artery disease diagnosis: a comprehensive review. Comp Biol Med 111:103346. https://doi.org/10.1016/j.compbiomed.2019.103346. ISSN 0010-4825
5. Babaoglu I, Baykan OK, Aygul N, Ozdemir K, Bayrak M (2009) Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization. Expert Syst Appl 36(2):2562–2566. https://doi.org/10.1016/j.eswa.2007.11.013. ISSN 0957-4174
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