Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali

Diabetes is one of the diseases that have high contribution to death among Malaysian. Hence, Malaysian is become aware about diabetes since many diabetes campaigns have been made by government in order to increase awareness among Malaysian. But then, diabetic people are having difficulties in order...

Full description

Saved in:

Bibliographic Details
Main Author:	Mior Ghazali, Nurul Afifah
Format:	Thesis
Language:	English
Published:	2016
Online Access:	https://ir.uitm.edu.my/id/eprint/18250/2/TD_NURUL%20AFIFAH%20MIOR%20GHAZALI%20CS%2016_5.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.18250
record_format	uketd_dc
spelling	my-uitm-ir.182502019-02-28T04:40:09Z Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali 2016 Mior Ghazali, Nurul Afifah Diabetes is one of the diseases that have high contribution to death among Malaysian. Hence, Malaysian is become aware about diabetes since many diabetes campaigns have been made by government in order to increase awareness among Malaysian. But then, diabetic people are having difficulties in order to decide what they should eat simply because they do not know the exact amount of total calories intake per day should they consume. Thus, this project develops a mobile application recommended system that assists diabetic people to decide what is the total calories intake per day should they consume based gender, age, body mass index, physical activity and diabetes stage. The target user of this mobile application is female with type-1 diabetic that age 31 until 50 years. This is because female is the most that suffered diabetes compared to male. The method that is being used for this mobile application is rule based expert system. Apart from that, since human is always uncertain with their decisions, certainty factor is integrated where this mobile application accepts user’s uncertain decision. Besides that, this mobile application can be enhanced in future works to get result that are more accurate. The criteria that user need to input can be added more so that the result will be more specific when the criteria is more detailed. 2016 Thesis https://ir.uitm.edu.my/id/eprint/18250/ https://ir.uitm.edu.my/id/eprint/18250/2/TD_NURUL%20AFIFAH%20MIOR%20GHAZALI%20CS%2016_5.pdf text en public dphil degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	Diabetes is one of the diseases that have high contribution to death among Malaysian. Hence, Malaysian is become aware about diabetes since many diabetes campaigns have been made by government in order to increase awareness among Malaysian. But then, diabetic people are having difficulties in order to decide what they should eat simply because they do not know the exact amount of total calories intake per day should they consume. Thus, this project develops a mobile application recommended system that assists diabetic people to decide what is the total calories intake per day should they consume based gender, age, body mass index, physical activity and diabetes stage. The target user of this mobile application is female with type-1 diabetic that age 31 until 50 years. This is because female is the most that suffered diabetes compared to male. The method that is being used for this mobile application is rule based expert system. Apart from that, since human is always uncertain with their decisions, certainty factor is integrated where this mobile application accepts user’s uncertain decision. Besides that, this mobile application can be enhanced in future works to get result that are more accurate. The criteria that user need to input can be added more so that the result will be more specific when the criteria is more detailed.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Bachelor degree
author	Mior Ghazali, Nurul Afifah
spellingShingle	Mior Ghazali, Nurul Afifah Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali
author_facet	Mior Ghazali, Nurul Afifah
author_sort	Mior Ghazali, Nurul Afifah
title	Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali
title_short	Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali
title_full	Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali
title_fullStr	Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali
title_full_unstemmed	Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali
title_sort	calories recommendation mobile application for diabetic using rule based expert system / nurul afifah mior ghazali
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/18250/2/TD_NURUL%20AFIFAH%20MIOR%20GHAZALI%20CS%2016_5.pdf
_version_	1783733643187847168

Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali

Similar Items