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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...

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Main Author: Mior Ghazali, Nurul Afifah
Format: Thesis
Language:English
Published: 2016
Online Access:http://ir.uitm.edu.my/id/eprint/18250/2/TD_NURUL%20AFIFAH%20MIOR%20GHAZALI%20CS%2016_5.pdf
http://ir.uitm.edu.my/id/eprint/18250/
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spelling my.uitm.ir.182502019-02-28T04:40:09Z http://ir.uitm.edu.my/id/eprint/18250/ Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18250/2/TD_NURUL%20AFIFAH%20MIOR%20GHAZALI%20CS%2016_5.pdf Mior Ghazali, Nurul Afifah (2016) Calories recommendation mobile application for diabetic using rule based expert system / Nurul Afifah Mior Ghazali. Degree thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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
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
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/18250/2/TD_NURUL%20AFIFAH%20MIOR%20GHAZALI%20CS%2016_5.pdf
http://ir.uitm.edu.my/id/eprint/18250/
_version_ 1685649056471187456
score 13.211869

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