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Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 7
First page : ( 992) Last page : ( 996)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.01708.X

A Smart Nutrition Management System and Nutrition Related

Bra Diseases in Humans Kardokh H. Kaka1, Supriyanto Eko1,2,3,*

1School of Biomedical Engineering and Health Sciences, Faculty of Engineering

2Advanced Diagnostics and Progressive Human Care Research Group

3IJN-UTM Cardiovascular Engineering Centre, Universiti Teknologi Malaysia, Johor, Malaysia

*Corresponding Author: Eko Supriyanto, School of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia, Email: eko@utm.my

Online published on 19 August, 2019.

Abstract

The rapid rate of urbanization and world population increase has given rise to new challenges. Increasingly more nutrition-and metabolic-related conditions are appearing as a result of poor nutritional management and lifestyle choices. Clearly, without food management, a person could suffer enormous drawbacks in his or her private and social life. The objective of this project is to help people eat smarter and more mindfully, manage their body conditions, and further improve their relationship with food, in order to facilitate the early diagnosis of certain diseases (e.g., cardiovascular diseases) and to improve the recovery as well as prognosis of these diseases. A system, method, and computer program for integrated, personalized nutrition management is proposed in this study. The nutrition management system features a user data calculation processing unit that calculates the required nutrient quantity for a person based on the person's data. It also calculates the excess or deficiency of nutrients of the person based on the required nutrient amount and nutrient evaluation outcome data of the person, including a meal information search engine user interface that searches for the food data based on input from the user. The system was used by a small group of 20 university students and staffs who, overall, found the experience to be useful and functional with comments to improve the search engine user interface. The results of analysis were fetched fast and accurately. Therefore, the system can be used not only by the general population, but also by dietitians and nutritionists to accurately manage and personalize the nutritional wellness of the society.

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Keywords

Nutrion, Management System, Computer-based, Smart System, Disease Management, Early Diagnoosis.

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