Heart disease diagnosis system using fuzzy logic

Treating people with ill health is a major problem in developed and underdeveloped countries. Most of these countries allocate a considerable portion of their budgets to ensuring that their citizens are healthy. However, countries remain unable to meet the demand for ideal medical services of their...

Full description

Bibliographic Details
Main Authors:	Hasan, Kahtan, Azma, Abdullah, Kamal Z., Zamli, Abdulgabber, Mansoor Abdullateef, Wan Nor Ashikin, Wan Ahmad Fatthi, Noor Shahaiyusniezam, Kamarulzaman
Format:	Conference or Workshop Item
Language:	English
Published:	Association for Computing Machinery (ACM) 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/21995/ http://umpir.ump.edu.my/id/eprint/21995/ http://umpir.ump.edu.my/id/eprint/21995/2/36.1%20Heart%20disease%20diagnosis%20system%20using%20fuzzy%20logic.pdf

id	ump-21995
recordtype	eprints
spelling	ump-219952018-10-10T07:22:55Z http://umpir.ump.edu.my/id/eprint/21995/ Heart disease diagnosis system using fuzzy logic Hasan, Kahtan Azma, Abdullah Kamal Z., Zamli Abdulgabber, Mansoor Abdullateef Wan Nor Ashikin, Wan Ahmad Fatthi Noor Shahaiyusniezam, Kamarulzaman QA76 Computer software Treating people with ill health is a major problem in developed and underdeveloped countries. Most of these countries allocate a considerable portion of their budgets to ensuring that their citizens are healthy. However, countries remain unable to meet the demand for ideal medical services of their citizens because of the shortage of medical expertise in various hospitals. Medical diagnosis systems have been widely applied to diagnosing the symptoms of diseases such as cancer and diabetes. However, the analysis tools and methods are insufficient for identifying hidden relationships in the symptoms of coronary heart disease (CHD). Consequently, the ratio of people who suffer from this disease is growing rapidly; 12 million deaths each year are attributed to CHD. Meanwhile, the complex interdependency on various symptoms of this ailment indicates the difficulties in diagnosing CHD at an early stage. Furthermore, the diagnosis of CHD is a complex task that requires precision and effectiveness. Doctors do not have adequate time to devote to each case and encounter difficulties in keeping abreast of the newest application developments. Many alternative methods have been suggested for medical diagnosis in the healthcare domain. However, evaluating the functionality of CHD diagnosis systems remains challenging. Therefore, this study aims to develop a system that diagnoses CHD via fuzzy logic and evaluate the functionality of the proposed diagnostic CHD system. This study contributes to the healthcare domain as the developed system can assist doctors in accurately diagnosing when CHD symptoms have an ambiguous relationship. Therefore, the developed system will decrease doctors’ workloads during consultations. Association for Computing Machinery (ACM) 2018-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21995/2/36.1%20Heart%20disease%20diagnosis%20system%20using%20fuzzy%20logic.pdf Hasan, Kahtan and Azma, Abdullah and Kamal Z., Zamli and Abdulgabber, Mansoor Abdullateef and Wan Nor Ashikin, Wan Ahmad Fatthi and Noor Shahaiyusniezam, Kamarulzaman (2018) Heart disease diagnosis system using fuzzy logic. In: Proceedings of the 7th International Conference on Software and Computer Applications (ICSCA 2018), 8-10 February 2018 , Kuantan, Pahang, Malaysia. pp. 297-301.. ISBN 978-1-4503-5414-1 https://doi.org/10.1145/3185089.3185118
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Hasan, Kahtan Azma, Abdullah Kamal Z., Zamli Abdulgabber, Mansoor Abdullateef Wan Nor Ashikin, Wan Ahmad Fatthi Noor Shahaiyusniezam, Kamarulzaman Heart disease diagnosis system using fuzzy logic
description	Treating people with ill health is a major problem in developed and underdeveloped countries. Most of these countries allocate a considerable portion of their budgets to ensuring that their citizens are healthy. However, countries remain unable to meet the demand for ideal medical services of their citizens because of the shortage of medical expertise in various hospitals. Medical diagnosis systems have been widely applied to diagnosing the symptoms of diseases such as cancer and diabetes. However, the analysis tools and methods are insufficient for identifying hidden relationships in the symptoms of coronary heart disease (CHD). Consequently, the ratio of people who suffer from this disease is growing rapidly; 12 million deaths each year are attributed to CHD. Meanwhile, the complex interdependency on various symptoms of this ailment indicates the difficulties in diagnosing CHD at an early stage. Furthermore, the diagnosis of CHD is a complex task that requires precision and effectiveness. Doctors do not have adequate time to devote to each case and encounter difficulties in keeping abreast of the newest application developments. Many alternative methods have been suggested for medical diagnosis in the healthcare domain. However, evaluating the functionality of CHD diagnosis systems remains challenging. Therefore, this study aims to develop a system that diagnoses CHD via fuzzy logic and evaluate the functionality of the proposed diagnostic CHD system. This study contributes to the healthcare domain as the developed system can assist doctors in accurately diagnosing when CHD symptoms have an ambiguous relationship. Therefore, the developed system will decrease doctors’ workloads during consultations.
format	Conference or Workshop Item
author	Hasan, Kahtan Azma, Abdullah Kamal Z., Zamli Abdulgabber, Mansoor Abdullateef Wan Nor Ashikin, Wan Ahmad Fatthi Noor Shahaiyusniezam, Kamarulzaman
author_facet	Hasan, Kahtan Azma, Abdullah Kamal Z., Zamli Abdulgabber, Mansoor Abdullateef Wan Nor Ashikin, Wan Ahmad Fatthi Noor Shahaiyusniezam, Kamarulzaman
author_sort	Hasan, Kahtan
title	Heart disease diagnosis system using fuzzy logic
title_short	Heart disease diagnosis system using fuzzy logic
title_full	Heart disease diagnosis system using fuzzy logic
title_fullStr	Heart disease diagnosis system using fuzzy logic
title_full_unstemmed	Heart disease diagnosis system using fuzzy logic
title_sort	heart disease diagnosis system using fuzzy logic
publisher	Association for Computing Machinery (ACM)
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21995/ http://umpir.ump.edu.my/id/eprint/21995/ http://umpir.ump.edu.my/id/eprint/21995/2/36.1%20Heart%20disease%20diagnosis%20system%20using%20fuzzy%20logic.pdf
first_indexed	2023-09-18T22:32:31Z
last_indexed	2023-09-18T22:32:31Z
_version_	1777416380531867648

Heart disease diagnosis system using fuzzy logic

Similar Items