Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 14, Issue 2


Published
on


Pages

99-106


DOI

Article

5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis With Healthcare Big Data Clouds


Authors

M. Venkat Sathya Sravani Affiliation:
Department of Information Technology, Malla Reddy Engineering College for Women (A), Maisammaguda, Medchal, Telangana
, P. Poojitha Affiliation:
Department of Information Technology, Malla Reddy Engineering College for Women (A), Maisammaguda, Medchal, Telangana
, Pranavi Joshi Affiliation:
Department of Information Technology, Malla Reddy Engineering College for Women (A), Maisammaguda, Medchal, Telangana
and B. Prathyusha Affiliation:
Department of Information Technology, Malla Reddy Engineering College for Women (A), Maisammaguda, Medchal, Telangana


Abstract

This project uses today’s 5G technology to monitor condition of diabetic patients with low cost. Now-a-days many peoples are suffering with diabetic disease due to work stress or unhealthy lifestyles and peoples will not know about the current health condition till symptoms appear or diagnosis through medical check-up and the condition of disease will be severe by that time and there is no possible way to get that intimation prior. Diabetes will be of two type’s diabetes -1 and diabetes -2. Diabetes -2 require hospitalization and in diabetes -1 condition we can monitor patient and alert him or doctors about his current condition.


Keywords

5G-smart diabetes, ensemble classifier, diabetes 2


Citation

Sravani, M. V. S., Poojitha, P., Joshi, P., & Prathyusha, B. (2023). 5G-Smart diabetes: Toward personalized diabetes diagnosis with healthcare big data clouds. Turkish Journal of Computer and Mathematics Education, 14(2), 99–106.

Published by: Engineering Journals

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