Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti

Thalassemia is a group of inherited blood disorders that cause the body to be unable to produce healthy hemoglobin and red blood cells. This disease is very dangerous since it could lead to death if those affected do not gets quick treatments. Current statistic shows that one out of 20 people of Mal...

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Main Author:	Mat Sayuti, Nur Diana
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Application software Configuration management Integrated software Software measurement Database management Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/69328/1/69328.pdf
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id	my-uitm-ir.69328
record_format	uketd_dc
spelling	my-uitm-ir.693282022-10-31T07:08:24Z Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti 2017-01 Mat Sayuti, Nur Diana Instruments and machines Electronic Computers. Computer Science Computer software Application software Configuration management Development. UML (Computer science) Integrated software Software measurement Database management Fuzzy logic Thalassemia is a group of inherited blood disorders that cause the body to be unable to produce healthy hemoglobin and red blood cells. This disease is very dangerous since it could lead to death if those affected do not gets quick treatments. Current statistic shows that one out of 20 people of Malaysia are carriers of genes the thalassemia genes. The objective of this project is to study how to diagnose the likelihood of thalassemia occurring in a child and to develop an expert system that could diagnose the possibility of a child having the disease.This system is an expert system that uses fuzzy logic. In developing the system, a domain expert was interviewed to obtain information and create some rules of the system. The input parameter of this system is the early symptoms for a child which are fatigue, jaundice, pallor and the family histories. The output of this system is the possibility of thalassemia disease occurring in the patient. The system has been tested with real patient data and it produces output with 65% of accuracy. This system would be very helpful to parents as it can help them to know the possibility of their child having thalassemia before more invasive and expensive tests are done. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69328/ https://ir.uitm.edu.my/id/eprint/69328/1/69328.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Wan Abdul Manan, Wan Dorishah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Wan Abdul Manan, Wan Dorishah
topic	Instruments and machines Instruments and machines Computer software Application software Configuration management Instruments and machines Integrated software Software measurement Database management Fuzzy logic
spellingShingle	Instruments and machines Instruments and machines Computer software Application software Configuration management Instruments and machines Integrated software Software measurement Database management Fuzzy logic Mat Sayuti, Nur Diana Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti
description	Thalassemia is a group of inherited blood disorders that cause the body to be unable to produce healthy hemoglobin and red blood cells. This disease is very dangerous since it could lead to death if those affected do not gets quick treatments. Current statistic shows that one out of 20 people of Malaysia are carriers of genes the thalassemia genes. The objective of this project is to study how to diagnose the likelihood of thalassemia occurring in a child and to develop an expert system that could diagnose the possibility of a child having the disease.This system is an expert system that uses fuzzy logic. In developing the system, a domain expert was interviewed to obtain information and create some rules of the system. The input parameter of this system is the early symptoms for a child which are fatigue, jaundice, pallor and the family histories. The output of this system is the possibility of thalassemia disease occurring in the patient. The system has been tested with real patient data and it produces output with 65% of accuracy. This system would be very helpful to parents as it can help them to know the possibility of their child having thalassemia before more invasive and expensive tests are done.
format	Thesis
qualification_level	Bachelor degree
author	Mat Sayuti, Nur Diana
author_facet	Mat Sayuti, Nur Diana
author_sort	Mat Sayuti, Nur Diana
title	Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti
title_short	Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti
title_full	Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti
title_fullStr	Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti
title_full_unstemmed	Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti
title_sort	thalassemia diagnosis using fuzzy expert system / nur diana mat sayuti
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69328/1/69328.pdf
_version_	1783735866310524928

Thalassemia diagnosis using fuzzy expert system / Nur Diana Mat Sayuti

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