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Intelligent, secured smart app for complete diabetes lifestyle management –“Diabeta”

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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


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