dc.contributor.author |
Jayasekara, J. T. N. N. |
|
dc.contributor.author |
Gunasekera, R. H. |
|
dc.contributor.author |
Ravindu Hasanka, V. G. |
|
dc.contributor.author |
Hasintha Kashmika, H. B. G. |
|
dc.contributor.author |
Suriyaa Kumari, P. K. |
|
dc.contributor.author |
Ravi Supunya Swarnakanthac, N. H. P. |
|
dc.date.accessioned |
2022-12-06T10:58:43Z |
|
dc.date.available |
2022-12-06T10:58:43Z |
|
dc.date.issued |
2022-11-15 |
|
dc.identifier.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. |
en_US |
dc.identifier.isbn |
978-624-5736-60-7 |
|
dc.identifier.uri |
http://ir.lib.seu.ac.lk/handle/123456789/6352 |
|
dc.description.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. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai. |
en_US |
dc.subject |
Non-Invasive |
en_US |
dc.subject |
Diabetes Prediction |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.subject |
NodeMCU |
en_US |
dc.subject |
LoT |
en_US |
dc.title |
Intelligent, secured smart app for complete diabetes lifestyle management –“Diabeta” |
en_US |
dc.type |
Article |
en_US |