Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman

Parents with children that are diagnosed with FTT need to meet dietitian once in 3 months to check their children's growth. In between the consultation time, parents need to plan their own dietary plan in order to maintain the growth of their children. Without having a proper nutrition, childre...

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Main Author:	Suliman, Nurul Syakirah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Back propagation (Artificial intelligence) Probabilities Instruments and machines Fuzzy logic Weights and measures
Online Access:	https://ir.uitm.edu.my/id/eprint/69466/1/69466.pdf
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id	my-uitm-ir.69466
record_format	uketd_dc
spelling	my-uitm-ir.694662022-10-31T06:51:49Z Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman 2017-01 Suliman, Nurul Syakirah Back propagation (Artificial intelligence) Probabilities Instruments and machines Electronic Computers. Computer Science Expert systems (Computer science). Fuzzy expert systems Fuzzy logic Weights and measures Parents with children that are diagnosed with FTT need to meet dietitian once in 3 months to check their children's growth. In between the consultation time, parents need to plan their own dietary plan in order to maintain the growth of their children. Without having a proper nutrition, children may get variety of medical or psychosocial problems. A recommendation system using fuzzy expert system is proposed to support parents in making right dietary plan for their own children. Incremental model is used to develop the proposed work. Five core phases which are preliminary study, data preparation, knowledge acquisition, implementation and evaluation are followed to make sure the system produce proper dietary plan. This system is evaluated by an expert who verify on dietary plan recommended by the system for 10 selected case studies. The evaluation results on 40% correct output with another 60% falls into the grey area. It shows that using fuzzy expert system for diet recommendation system can produce correct dietary plan. For future work, to produce diet recommendation system that are more reliable and widely used, the fuzzy range need to recalculated back and adding more data about children which can be used by children with FTT in different age. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69466/ https://ir.uitm.edu.my/id/eprint/69466/1/69466.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Nik Daud, Nik Marsyahariani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Nik Daud, Nik Marsyahariani
topic	Back propagation (Artificial intelligence) Probabilities Instruments and machines Back propagation (Artificial intelligence) Back propagation (Artificial intelligence) Fuzzy logic Weights and measures
spellingShingle	Back propagation (Artificial intelligence) Probabilities Instruments and machines Back propagation (Artificial intelligence) Back propagation (Artificial intelligence) Fuzzy logic Weights and measures Suliman, Nurul Syakirah Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman
description	Parents with children that are diagnosed with FTT need to meet dietitian once in 3 months to check their children's growth. In between the consultation time, parents need to plan their own dietary plan in order to maintain the growth of their children. Without having a proper nutrition, children may get variety of medical or psychosocial problems. A recommendation system using fuzzy expert system is proposed to support parents in making right dietary plan for their own children. Incremental model is used to develop the proposed work. Five core phases which are preliminary study, data preparation, knowledge acquisition, implementation and evaluation are followed to make sure the system produce proper dietary plan. This system is evaluated by an expert who verify on dietary plan recommended by the system for 10 selected case studies. The evaluation results on 40% correct output with another 60% falls into the grey area. It shows that using fuzzy expert system for diet recommendation system can produce correct dietary plan. For future work, to produce diet recommendation system that are more reliable and widely used, the fuzzy range need to recalculated back and adding more data about children which can be used by children with FTT in different age.
format	Thesis
qualification_level	Bachelor degree
author	Suliman, Nurul Syakirah
author_facet	Suliman, Nurul Syakirah
author_sort	Suliman, Nurul Syakirah
title	Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman
title_short	Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman
title_full	Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman
title_fullStr	Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman
title_full_unstemmed	Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman
title_sort	diet recommendation for children with failure to thrive (ftt) using fuzzy expert system / nurul syakirah suliman
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69466/1/69466.pdf
_version_	1783735883154849792

Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman

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