Abstract
Significant advances in technologies have opened new possibilities for scientists to gather data in different application fields, such as medical imaging in the Healthcare Sector. Because of this, novel ideas have been generated for the development of Machine Learning (ML) Techniques. Recent research in Deep Learning (DL) has proven to transform the future of Artificial intelligence (AI). This paper provides a comprehensive survey and the application of DL techniques in diagnosing Cardiovascular Disease using biological data such as: MRI scan, CT scan, Symptoms and Family History and Blood Test results. In addition, the performances of DL techniques have been compared when applied to different datasets across several data. Finally, as this is a challenging research area, open issues and its possible future development outlooks have been discussed.
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Gogi, G., Gegov, A. (2020). Application of Deep Learning for the Diagnosis of Cardiovascular Diseases. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_59
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DOI: https://doi.org/10.1007/978-3-030-29516-5_59
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