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.
Original language | English |
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Title of host publication | Intelligent Systems and Applications |
Subtitle of host publication | Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1 |
Editors | Yaxin Bu, Rahul Bhatia, Supriya Kapoor |
Publisher | Springer |
Pages | 781-791 |
ISBN (Electronic) | 978-3-030-29516-5 |
ISBN (Print) | 978-3-030-29515-8 |
DOIs | |
Publication status | Published - Sept 2019 |
Event | IEEE SAI Intelligent Systems Conference 2019 - London, United Kingdom Duration: 5 Sept 2019 → 6 Sept 2019 https://saiconference.com/IntelliSys https://saiconference.com/Conferences/IntelliSys2019 |
Publication series
Name | Advances in Intelligent Systems and Applications |
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Publisher | Springer, Cham |
Number | 1 |
Volume | 1037 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | IEEE SAI Intelligent Systems Conference 2019 |
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Abbreviated title | IntelliSys 2019 |
Country/Territory | United Kingdom |
City | London |
Period | 5/09/19 → 6/09/19 |
Internet address |