Please use this identifier to cite or link to this item:
http://ir.lib.seu.ac.lk/handle/123456789/6352
Title: | Intelligent, secured smart app for complete diabetes lifestyle management –“Diabeta” |
Authors: | Jayasekara, J. T. N. N. Gunasekera, R. H. Ravindu Hasanka, V. G. Hasintha Kashmika, H. B. G. Suriyaa Kumari, P. K. Ravi Supunya Swarnakanthac, N. H. P. |
Keywords: | Non-Invasive Diabetes Prediction Machine Learning NodeMCU LoT |
Issue Date: | 15-Nov-2022 |
Publisher: | Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai. |
Citation: | 11th Annual Science Research Sessions 2022 (ASRS-2022) Proceedings on "“Scientific Engagement for Sustainable Futuristic Innovations”. 15th November 2022. Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai, Sri Lanka. pp. 21. |
Abstract: | Especially today's society tends to use new technological devices instead of relying on on document materials in daily life. While there are diabetes-related apps that more accurately predict users' prediabetes or diabetes type 2 using machine learning approaches, predicting health risks by analyzing glucose monitoring data, recommend meal and exercise plans, and use a non-invasive approach to measure and monitor blood glucose level, heart rate, and blood oxygen level, and over Wi-Fi using NodeMCU makes the proposed DiaBeta application unique among diabetes applications. Other secondary functions such as digital logbook, reminders, lifestyle-based meal recommendations, medical guidelines, and efforts such as glucose monitoring data can be easily performed with a smartphone. DiaBeta is a life-saving app that can be used by anyone around the world to get a more accurate and personalized meal plan. DiaBeta offers a precise, clinical, validated, and standardized solution for diabetes patients. |
URI: | http://ir.lib.seu.ac.lk/handle/123456789/6352 |
ISBN: | 978-624-5736-60-7 |
Appears in Collections: | 11th Annual Science Research Session - FAS |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Computer Sc 3.pdf | 420.01 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.