Food Nutrition Analysis For Health Using Data Mining Techniques

Nowadays, manufactured food is used in most of our diet, which is related to food nutrition. Food Nutrition system is a concept widely used but there is little systematic framework that can model the entire food nutrition system. Processing on the structure and composition of food has a major impact...

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Main Authors: Kayalvily, Tabianan, Sia, Zi Siang
Format: Article
Language:English
Published: INTI International University 2020
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Online Access:http://eprints.intimal.edu.my/1463/1/ij2020_45.pdf
http://eprints.intimal.edu.my/1463/
http://intijournal.newinti.edu.my
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spelling my-inti-eprints.14632024-03-22T06:17:45Z http://eprints.intimal.edu.my/1463/ Food Nutrition Analysis For Health Using Data Mining Techniques Kayalvily, Tabianan Sia, Zi Siang QA76 Computer software ZA4050 Electronic information resources ZA4450 Databases Nowadays, manufactured food is used in most of our diet, which is related to food nutrition. Food Nutrition system is a concept widely used but there is little systematic framework that can model the entire food nutrition system. Processing on the structure and composition of food has a major impact on the nutritional value. If adolescents consume a large amount of the super processed food, they risk a rise in obesity and diabetes. As such, the author developed a system using Data Mining Techniques to improve the food nutrition values for users. It helped to identify the habits of the teenagers and their ability to make decisions. Furthermore, this project was aimed at investigating the role and relationship among food, health and the environment, as well as their chronic micronutrient deficiency (also known as “hidden hunger”). INTI International University 2020 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1463/1/ij2020_45.pdf Kayalvily, Tabianan and Sia, Zi Siang (2020) Food Nutrition Analysis For Health Using Data Mining Techniques. INTI JOURNAL, 2020 (45). ISSN e2600-7320 http://intijournal.newinti.edu.my
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
language English
topic QA76 Computer software
ZA4050 Electronic information resources
ZA4450 Databases
spellingShingle QA76 Computer software
ZA4050 Electronic information resources
ZA4450 Databases
Kayalvily, Tabianan
Sia, Zi Siang
Food Nutrition Analysis For Health Using Data Mining Techniques
description Nowadays, manufactured food is used in most of our diet, which is related to food nutrition. Food Nutrition system is a concept widely used but there is little systematic framework that can model the entire food nutrition system. Processing on the structure and composition of food has a major impact on the nutritional value. If adolescents consume a large amount of the super processed food, they risk a rise in obesity and diabetes. As such, the author developed a system using Data Mining Techniques to improve the food nutrition values for users. It helped to identify the habits of the teenagers and their ability to make decisions. Furthermore, this project was aimed at investigating the role and relationship among food, health and the environment, as well as their chronic micronutrient deficiency (also known as “hidden hunger”).
format Article
author Kayalvily, Tabianan
Sia, Zi Siang
author_facet Kayalvily, Tabianan
Sia, Zi Siang
author_sort Kayalvily, Tabianan
title Food Nutrition Analysis For Health Using Data Mining Techniques
title_short Food Nutrition Analysis For Health Using Data Mining Techniques
title_full Food Nutrition Analysis For Health Using Data Mining Techniques
title_fullStr Food Nutrition Analysis For Health Using Data Mining Techniques
title_full_unstemmed Food Nutrition Analysis For Health Using Data Mining Techniques
title_sort food nutrition analysis for health using data mining techniques
publisher INTI International University
publishDate 2020
url http://eprints.intimal.edu.my/1463/1/ij2020_45.pdf
http://eprints.intimal.edu.my/1463/
http://intijournal.newinti.edu.my
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score 13.211869