Big data aware diabetes management: Requirements, solutions and reviews
Bildiriler > Tam Metin Bildiri
Yazarlar: Murat Osman ÜNALIR, Özgü CAN, Emine SEZER, Okan Bursa, Handan Ak
2017 International Artificial Intelligence and Data Processing Symposium (IDAP), , , Uluslararası, Tam Metin Bildiri, cilt 5, ss 1-6
DOI: 10.1109/idap.2017.8090179
Özet
The convergence of IoT, cloud computing and big data creates new opportunities for diabetes management. There are many research projects on diabetes management in the literature. They are generally based on web application architectures and rely on traditional data management systems. This paper firstly describes the big data characteristics and then discusses the perspectives of healthcare systems should have. After briefing the requirements of diabetes management in big data era, big data awareness matrix for diabetes management is presented. Existing solutions are revisited in the light of the matrix and a general review of diabetes management is concluded with the convergent technologies.