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...

Full description

Saved in:
Bibliographic Details
Main Author: Suliman, Nurul Syakirah
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/69466/1/69466.pdf
https://ir.uitm.edu.my/id/eprint/69466/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.69466
record_format eprints
spelling my.uitm.ir.694662022-10-31T06:51:49Z https://ir.uitm.edu.my/id/eprint/69466/ Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/69466/1/69466.pdf Diet recommendation for children with Failure to Thrive (FTT) using fuzzy expert system / Nurul Syakirah Suliman. (2017) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu.
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
topic Back propagation (Artificial intelligence)
Probabilities
Instruments and machines
Electronic Computers. Computer Science
Expert systems (Computer science). Fuzzy expert systems
Fuzzy logic
Weights and measures
spellingShingle Back propagation (Artificial intelligence)
Probabilities
Instruments and machines
Electronic Computers. Computer Science
Expert systems (Computer science). Fuzzy expert systems
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
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
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/69466/1/69466.pdf
https://ir.uitm.edu.my/id/eprint/69466/
_version_ 1748706016661340160
score 13.214096