Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1222
Title: Use of Natural Language Processing and Deep Learning towards Guiding Healthy Cholesterol Free Life
Authors: Sasanka, D.
Malshani, H. K. N.
Wickramaratne, U.I.
Kavindi, Y.
Tissera, M.
Attanayaka, B.
Keywords: High blood cholesterol
Cholesterol risk
Natural Language Processing
Fuzzy ontology
Multiple linear regression
Stress scale
Issue Date: 9-Dec-2021
Publisher: 2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT
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.
URI: http://rda.sliit.lk/handle/123456789/1222
ISSN: 978-1-6654-0862-2/21
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Computer systems Engineering-Scopes

Files in This Item:
File Description SizeFormat 
Use_of_Natural_Language_Processing_and_Deep_Learning_towards_Guiding_Healthy_Cholesterol_Free_Life.pdf
  Until 2050-12-31
1.4 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.