A Survey on Image-Based Cardiac Diagnosis Prediction Using Machine Learning and Deep Learning Techniques

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dc.contributor.authorNag, A.
dc.contributor.authorDas, B.
dc.contributor.authorSil, R.
dc.contributor.authorHameed, A.A.
dc.contributor.authorBhushan, B.
dc.contributor.authorJamil, A.
dc.date.accessioned2024-05-19T14:33:33Z
dc.date.available2024-05-19T14:33:33Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description2nd International Conference on Computing, IoT and Data Analytics, ICCIDA 2023 -- 20 July 2023 through 21 July 2023 -- -- 308639en_US
dc.description.abstractCardiac imaging is crucial in the diagnosis of cardiovascular disease. Cardiovascular disease is the umbrella term for the majority of heart ailments. The majority of the causes of mortality are associated with cardiovascular illness. The authors provide a technique for the diagnosis of cardiac disease. The main aim of this study is to determine the most effective technique for predicting cardiovascular disease, specifically focusing on the use of signs of heart disease and Electrocardiogram images. This will be achieved by leveraging the latest advancements in Deep Learning and Machine Learning methods. The authors conduct a comprehensive examination of various Machine Learning and Deep Learning Techniques. These techniques were evaluated in the context of predicting cardiovascular disease evaluating Image. The analysis shows that the Convolutional Neural Network methods are much more effective than the alternatives. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.en_US
dc.identifier.doi10.1007/978-3-031-53717-2_44
dc.identifier.endpage491en_US
dc.identifier.isbn9783031537165
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85187996312en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage478en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-53717-2_44
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4270
dc.identifier.volume1145 SCIen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Computational Intelligenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectCardiac İmagingen_US
dc.subjectCardiovascular Diseaseen_US
dc.subjectCnnen_US
dc.subjectDeep Learningen_US
dc.subjectEcg İmagesen_US
dc.subjectMachine Learningen_US
dc.titleA Survey on Image-Based Cardiac Diagnosis Prediction Using Machine Learning and Deep Learning Techniquesen_US
dc.typeConference Objecten_US

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