Deep learning approaches for the cardiovascular disease diagnosis using smartphone
Abdulhamit Subasi1, Elina Kontio2 and Mojtaba Jafaritadi2, 3, 1Faculty of Medicine, Institute of Biomedicine, University of Turku, Turku, Finland, 2Faculty of Engineering and Business, School of Information and Communications Technology, Turku University of Applied Sciences, Turku, Finland, 3Faculty of Technology, Department of Computing, University of Turku, Turku, Finland
Abstract
One of the most important subjects for societies is human health services, which aims to determine the appropriate, accurate and robust diagnosis of the disorder for patients to get the adequate treatment as quickly as possible. Since this diagnosis is always a challenging ...
Get 5G IoT and Edge Computing for Smart Healthcare now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
