Fuzzy expert system on diagnosis atherosclerosis

Heart disease is one of the major factors of death in world wide. Atherosclerosis is the major factor of heart disease. Atherosclerosis is a disease in which plaque builds up inside the arteries that eventually likely to be hardened over time thus narrows the arteries. This project is developed to m...

Full description

Saved in:
Bibliographic Details
Main Author: Mahadi, Lina Farhana
Format: Thesis
Language:English
English
English
Published: 2017
Subjects:
Online Access:http://eprints.uthm.edu.my/7807/1/24p%20LINA%20FARHANA%20MAHADI.pdf
http://eprints.uthm.edu.my/7807/2/LINA%20FARHANA%20MAHADI%20COPYRIHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/7807/3/LINA%20FARHANA%20MAHADI%20WATERMARK.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uthm-ep.7807
record_format uketd_dc
spelling my-uthm-ep.78072022-10-12T02:20:03Z Fuzzy expert system on diagnosis atherosclerosis 2017-01 Mahadi, Lina Farhana R Medicine (General) R856-857 Biomedical engineering. Electronics. Instrumentation Heart disease is one of the major factors of death in world wide. Atherosclerosis is the major factor of heart disease. Atherosclerosis is a disease in which plaque builds up inside the arteries that eventually likely to be hardened over time thus narrows the arteries. This project is developed to monitor the atherosclerosis risk among people, which can tell their current health condition. This system could change the perspective of one's life for better living. 20 people consist of 10 male, IO female have been used as a test subject in this project. An Arduino prototype of Atherosclerosis monitors have been developed by applying the fuzzy logic method for testing and analyze the possibilities of atherosclerosis based on several input data obtained from the subject. The selected input data are age, body mass index (BMI), intima media thickness (IMT), blood pressure (BP) and blood glucose level (BGL). Since all the subjects are young in age, the chance of them to have the atherosclerosis is low. 2017-01 Thesis http://eprints.uthm.edu.my/7807/ http://eprints.uthm.edu.my/7807/1/24p%20LINA%20FARHANA%20MAHADI.pdf text en public http://eprints.uthm.edu.my/7807/2/LINA%20FARHANA%20MAHADI%20COPYRIHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/7807/3/LINA%20FARHANA%20MAHADI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic R Medicine (General)
R Medicine (General)
spellingShingle R Medicine (General)
R Medicine (General)
Mahadi, Lina Farhana
Fuzzy expert system on diagnosis atherosclerosis
description Heart disease is one of the major factors of death in world wide. Atherosclerosis is the major factor of heart disease. Atherosclerosis is a disease in which plaque builds up inside the arteries that eventually likely to be hardened over time thus narrows the arteries. This project is developed to monitor the atherosclerosis risk among people, which can tell their current health condition. This system could change the perspective of one's life for better living. 20 people consist of 10 male, IO female have been used as a test subject in this project. An Arduino prototype of Atherosclerosis monitors have been developed by applying the fuzzy logic method for testing and analyze the possibilities of atherosclerosis based on several input data obtained from the subject. The selected input data are age, body mass index (BMI), intima media thickness (IMT), blood pressure (BP) and blood glucose level (BGL). Since all the subjects are young in age, the chance of them to have the atherosclerosis is low.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mahadi, Lina Farhana
author_facet Mahadi, Lina Farhana
author_sort Mahadi, Lina Farhana
title Fuzzy expert system on diagnosis atherosclerosis
title_short Fuzzy expert system on diagnosis atherosclerosis
title_full Fuzzy expert system on diagnosis atherosclerosis
title_fullStr Fuzzy expert system on diagnosis atherosclerosis
title_full_unstemmed Fuzzy expert system on diagnosis atherosclerosis
title_sort fuzzy expert system on diagnosis atherosclerosis
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate 2017
url http://eprints.uthm.edu.my/7807/1/24p%20LINA%20FARHANA%20MAHADI.pdf
http://eprints.uthm.edu.my/7807/2/LINA%20FARHANA%20MAHADI%20COPYRIHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/7807/3/LINA%20FARHANA%20MAHADI%20WATERMARK.pdf
_version_ 1747831193946030080