Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria

Hyperlipidemia is one of the diseases that increase the risk of cardiovascular disease. To overcome the risk of the disease, a proper diet and exercise should be followed. The patients need to consult with the dietitian on the proper diet and recommendation so that the patient follows the right plan...

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Main Author:	Zakaria, Sitie Noorain
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Back propagation (Artificial intelligence) Data processing Instruments and machines Online data processing Computer software Configuration management Software measurement Neural networks (Computer science) Interactive computer systems
Online Access:	https://ir.uitm.edu.my/id/eprint/69422/1/69422.pdf
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id	my-uitm-ir.69422
record_format	uketd_dc
spelling	my-uitm-ir.694222022-10-31T03:33:49Z Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria 2017-01 Zakaria, Sitie Noorain Back propagation (Artificial intelligence) Mathematical statistics. Probabilities Data processing Instruments and machines Electronic Computers. Computer Science Online data processing Computer software Configuration management Development. UML (Computer science) Software measurement Neural networks (Computer science) Interactive computer systems Hyperlipidemia is one of the diseases that increase the risk of cardiovascular disease. To overcome the risk of the disease, a proper diet and exercise should be followed. The patients need to consult with the dietitian on the proper diet and recommendation so that the patient follows the right plan. But then, the problem troubles the patients as patients need to consult with the dietitian before taking the meals. Dietary Food Recommendation is an application that aims to recommend and help the Hyperlipidemia patient with the right dietary food according to the total calories of the patients based on Body Mass Index (BMI). The project uses Case- based reasoning technique to suggest a diet plans taken from the existing cases in the system. The patients requirements needed to be matched with the cases and then, the matched cases will be selected to be recommended to the patients. The recommendation consists of dietary meals for the patients for breakfast, lunch and dinner menus as well as the total calories for each meal. The result of the project shows that 7 out of 10 cases recommended by the system are similar to the recommendation by the dietitian using the reliability test. Therefore, the system is reliable to be used by the Hyperlipidemia patients. For the future work, the application should be able to recommend a variety of meals for Hyperlipidemia diet plan. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69422/ https://ir.uitm.edu.my/id/eprint/69422/1/69422.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Engku Azam, Engku Zain
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Engku Azam, Engku Zain
topic	Back propagation (Artificial intelligence) Back propagation (Artificial intelligence) Data processing Instruments and machines Back propagation (Artificial intelligence) Online data processing Computer software Configuration management Back propagation (Artificial intelligence) Software measurement Neural networks (Computer science) Interactive computer systems
spellingShingle	Back propagation (Artificial intelligence) Back propagation (Artificial intelligence) Data processing Instruments and machines Back propagation (Artificial intelligence) Online data processing Computer software Configuration management Back propagation (Artificial intelligence) Software measurement Neural networks (Computer science) Interactive computer systems Zakaria, Sitie Noorain Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria
description	Hyperlipidemia is one of the diseases that increase the risk of cardiovascular disease. To overcome the risk of the disease, a proper diet and exercise should be followed. The patients need to consult with the dietitian on the proper diet and recommendation so that the patient follows the right plan. But then, the problem troubles the patients as patients need to consult with the dietitian before taking the meals. Dietary Food Recommendation is an application that aims to recommend and help the Hyperlipidemia patient with the right dietary food according to the total calories of the patients based on Body Mass Index (BMI). The project uses Case- based reasoning technique to suggest a diet plans taken from the existing cases in the system. The patients requirements needed to be matched with the cases and then, the matched cases will be selected to be recommended to the patients. The recommendation consists of dietary meals for the patients for breakfast, lunch and dinner menus as well as the total calories for each meal. The result of the project shows that 7 out of 10 cases recommended by the system are similar to the recommendation by the dietitian using the reliability test. Therefore, the system is reliable to be used by the Hyperlipidemia patients. For the future work, the application should be able to recommend a variety of meals for Hyperlipidemia diet plan.
format	Thesis
qualification_level	Bachelor degree
author	Zakaria, Sitie Noorain
author_facet	Zakaria, Sitie Noorain
author_sort	Zakaria, Sitie Noorain
title	Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria
title_short	Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria
title_full	Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria
title_fullStr	Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria
title_full_unstemmed	Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria
title_sort	dietary food recommendation using case- based reasoning technique / sitie noorain zakaria
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69422/1/69422.pdf
_version_	1783735878163628032

Dietary food recommendation using case- based reasoning technique / Sitie Noorain Zakaria

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