5G-Smart Diabetes: Personalized Diabetes Diagnosis with Human Services Big Data Clouds
V. Narmada
V. Narmada, Assistant Professor, Malla Reddy Engineering College for Women Autonomous, India.
Manuscript received on 30 September 2019 | Revised Manuscript received on 12 November 2019 | Manuscript Published on 22 November 2019 | PP: 1760-1764 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13350986S319/19©BEIESP | DOI: 10.35940/ijeat.F1335.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Ongoing advances in remote systems administration and huge information innovations, for example, 5G systems, medicinal huge information investigation, and the Internet of Things, alongside ongoing improvements in wearable figuring and man-made brainpower, are empowering the advancement and usage of imaginative diabetes checking frameworks and applications. Because of the deep rooted and efficient damage endured by diabetes patients, it is basic to plan powerful strategies for the determination and treatment of diabetes. In light of our far reaching examination, this paper characterizes those strategies into Diabetes 1.0 and Diabetes 2.0, which show insufficiencies as far as systems administration and insight. Consequently, our objective is to structure a manageable, financially savvy, and insightful diabetes finding arrangement with customized treatment. In this paper, we initially propose the 5G-Smart Diabetes framework, which joins the best in class advancements, for example, wearable 2.0, machine learning, and huge information to create complete detecting and investigation for patients experiencing diabetes. At that point we present the information sharing system and customized information examination display for 5G-Smart Diabetes. At last, we construct a 5G-Smart Diabetes testbed that incorporates savvy dress, cell phone, and huge information mists. The trial results demonstrate that our framework can successfully give customized analysis and treatment proposals to patients.
Keywords: About four Key Words or Phrases in Alphabetical Order, Separated by Commas.
Scope of the Article: Big Data Analytics Application Systems