Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/1222
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Sasanka, D. | - |
dc.contributor.author | Malshani, H. K. N. | - |
dc.contributor.author | Wickramaratne, U.I. | - |
dc.contributor.author | Kavindi, Y. | - |
dc.contributor.author | Tissera, M. | - |
dc.contributor.author | Attanayaka, B. | - |
dc.date.accessioned | 2022-02-17T07:07:17Z | - |
dc.date.available | 2022-02-17T07:07:17Z | - |
dc.date.issued | 2021-12-09 | - |
dc.identifier.issn | 978-1-6654-0862-2/21 | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/1222 | - |
dc.description.abstract | High blood cholesterol is a key risk factor for cardiovascular diseases such as coronary heart disease and stroke. This has become a severe health problem, because it causes a considerable amount of deaths annually. The major risk factors that affect a person’s cholesterol level include unawareness of cholesterol risk, unhealthy dietary habits, lack of proper exercises, and high stress conditions. In this research, novel approaches are introduced to provide an automated and personalized guidance to maintain healthy cholesterol level and raise the awareness of each risk factors mentioned above. This research associates with four novel approaches. Natural Language Processing (NLP) based Cholesterol risk analyzer, Fuzzy based Food management with Meal predictor, Machine Learning based Physical exercise planner and Stress controller. Altogether with results, this research will provide a complete and facts-proven solution to reduce and guide people towards a cholesterol-free healthy lifestyle. | en_US |
dc.language.iso | en | en_US |
dc.publisher | 2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT | en_US |
dc.subject | High blood cholesterol | en_US |
dc.subject | Cholesterol risk | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Fuzzy ontology | en_US |
dc.subject | Multiple linear regression | en_US |
dc.subject | Stress scale | en_US |
dc.title | Use of Natural Language Processing and Deep Learning towards Guiding Healthy Cholesterol Free Life | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICAC54203.2021.9671230 | en_US |
Appears in Collections: | 3rd International Conference on Advancements in Computing (ICAC) | 2021 Department of Computer systems Engineering-Scopes |
Files in This Item:
File | Description | Size | Format | |
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Use_of_Natural_Language_Processing_and_Deep_Learning_towards_Guiding_Healthy_Cholesterol_Free_Life.pdf Until 2050-12-31 | 1.4 MB | Adobe PDF | View/Open Request a copy |
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