Food Nutrition Analysis For Health Using Data Mining Techniques

Kayalvily, Tabianan and Sia, Zi Siang (2020) Food Nutrition Analysis For Health Using Data Mining Techniques. INTI JOURNAL, 2020 (45). ISSN e2600-7320

[img]
Preview
Text
vol.2020_045.pdf

Download (187kB) | Preview
Official URL: http://intijournal.newinti.edu.my

Abstract

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”).

Item Type: Article
Uncontrolled Keywords: Data Mining Analysis, Website System
Subjects: Q Science > QA Mathematics > QA76 Computer software
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Faculty of Information Technology
Depositing User: Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited: 03 Dec 2020 02:36
Last Modified: 03 Dec 2020 02:37
URI: http://eprints.intimal.edu.my/id/eprint/1463

Actions (login required)

View Item View Item