Browsing by Author "Gunathilake, V"

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Embargo
An evolutionary prototype of a self-care application for type 2 diabetes
(IEEE, 2022-12-26) Widanarachchi, K; Mayadunne, S; Disanayake, K; Gunathilake, V; Kahandawaarachchi, C; Kasthurirathna, D; Jayasekera, P
Diabetes Mellitus or Diabetes is a chronic health condition. As there is no cure for both type 1 and 2 diabetes yet, the only solution is to manage the condition by improving lifestyle activities like eating and exercising and seeking medical advice. There are applications for diet planning, to analyze meals for nutrients, to suggest diabetic-friendly recipes and devices like blood glucose trackers to support type 2 diabetic patients. But there is no application or a device that can support a patient by addressing the diabetes condition. So, the plan is to conduct applied research on developing a mobile app for type 2 diabetes, capable of not only monitoring the patient’s physical activities but also for diet planning, monitoring diabetic peripheral neuropathy and diabetic foot ulcer (DFU) complications. This application provides point-of-care monitoring features that can help diabetic patients to understand their condition and to identify complication in advance and get necessary treatments. There are 3 main components focusing on patients’ diet, physical conditional, the possibility of diabetic peripheral neuropathy and DFUs. In order to implement these components, the intention is to use classification, clustering techniques in machine learning and CNN techniques for image processing. While the accuracies of the selected models built upon each feature (component) is more than 90%, the models have then been tested and concluded that each feature works accurately on patients.
Open Access
A FLOURISHING OR FALTERING ECONOMY: UNEMPLOYMENT IMPACTING SRI LANKAN ECONOMIC GROWTH
(Sri Lanka Journal of Economic Research, 2023-02-03) Atigala, P; Maduwanthi, T; Gunathilake, V; Sathsarani, S; Jayathilaka, R
The primary goal of any economy is to achieve long-term economic growth while maintaining a stable rate of unemployment, which is a macroeconomic factor. Moreover, when unemployment rises, real Gross Domestic Product (GDP) falls short of potential GDP. Accordingly, the purpose of this study is to examine the impact of unemployment on the economic growth of Sri Lanka. By using data from the first quarter (Q1) of 2000 to the fourth quarter (Q4) of 2021 and Vector Error Correction Model (VECM) and Granger Causality are applied to analyse the impact of unemployment on economic growth. The findings indicates that there is a unidirectional causality between unemployment and economic growth, and that there is a long run relationship between these two variables, with both long-term and short-term negative impacts on economic growth in Sri Lanka. Macroeconomic policies need to be formulated to sustain the unemployment rate in line with the current economic realities of Sri Lanka for sustainable economic growth and significant contribution to the creation of new jobs and the expansion of existing employment in Sri Lanka.