Publication:
Use of Natural Language Processing and Deep Learning towards Guiding Healthy Cholesterol Free Life

dc.contributor.authorSasanka, D.
dc.contributor.authorMalshani, H. K. N.
dc.contributor.authorWickramaratne, U.I.
dc.contributor.authorKavindi, Y.
dc.contributor.authorTissera, M.
dc.contributor.authorAttanayaka, B.
dc.date.accessioned2022-02-17T07:07:17Z
dc.date.available2022-02-17T07:07:17Z
dc.date.issued2021-12-09
dc.description.abstractHigh 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.identifier.doi10.1109/ICAC54203.2021.9671230en_US
dc.identifier.issn978-1-6654-0862-2/21
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/1222
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectHigh blood cholesterolen_US
dc.subjectCholesterol risken_US
dc.subjectNatural Language Processingen_US
dc.subjectFuzzy ontologyen_US
dc.subjectMultiple linear regressionen_US
dc.subjectStress scaleen_US
dc.titleUse of Natural Language Processing and Deep Learning towards Guiding Healthy Cholesterol Free Lifeen_US
dc.typeArticleen_US
dspace.entity.typePublication

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