Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman

The early detection of heart disease is vital to avoid sudden death. There are several symptoms that are familiar to heart disease patients by analyzing the symptoms and assisted by specific device, doctors would be able to conform the heart disease. Since the conventional method of heart disease de...

Full description

Saved in:

Bibliographic Details
Main Author:	Ab Rahman, Lily Syahira Sabrina
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Application program interfaces Application software Configuration management Software measurement Neural networks (Computer science) Database management
Online Access:	https://ir.uitm.edu.my/id/eprint/69703/1/69703.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.69703
record_format	uketd_dc
spelling	my-uitm-ir.697032022-11-03T07:18:46Z Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman 2017-01 Ab Rahman, Lily Syahira Sabrina Instruments and machines Electronic Computers. Computer Science Evolutionary programming (Computer science). Genetic algorithms Computer software Application program interfaces Application software Configuration management Development. UML (Computer science) Software measurement Neural networks (Computer science) Database management The early detection of heart disease is vital to avoid sudden death. There are several symptoms that are familiar to heart disease patients by analyzing the symptoms and assisted by specific device, doctors would be able to conform the heart disease. Since the conventional method of heart disease detection is quite tedious, the automatic detection is proposed. In order to automate the early detection an adequate algorithm is needed. The algorithm must be able to receive input of patient’s details, and generate the predicted result. Therefore this study is proposed to implement multilayer neural network in producing the heart disease prediction. The predictions are evaluated by the accuracy testing and the result is 50%, this is because the range of certain criteria is not defined yet. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69703/ https://ir.uitm.edu.my/id/eprint/69703/1/69703.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty Of Business Management Syed Yasin, Sharifah Nurulhikmah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Syed Yasin, Sharifah Nurulhikmah
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Application program interfaces Application software Configuration management Instruments and machines Software measurement Neural networks (Computer science) Database management
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Application program interfaces Application software Configuration management Instruments and machines Software measurement Neural networks (Computer science) Database management Ab Rahman, Lily Syahira Sabrina Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
description	The early detection of heart disease is vital to avoid sudden death. There are several symptoms that are familiar to heart disease patients by analyzing the symptoms and assisted by specific device, doctors would be able to conform the heart disease. Since the conventional method of heart disease detection is quite tedious, the automatic detection is proposed. In order to automate the early detection an adequate algorithm is needed. The algorithm must be able to receive input of patient’s details, and generate the predicted result. Therefore this study is proposed to implement multilayer neural network in producing the heart disease prediction. The predictions are evaluated by the accuracy testing and the result is 50%, this is because the range of certain criteria is not defined yet.
format	Thesis
qualification_level	Bachelor degree
author	Ab Rahman, Lily Syahira Sabrina
author_facet	Ab Rahman, Lily Syahira Sabrina
author_sort	Ab Rahman, Lily Syahira Sabrina
title	Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
title_short	Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
title_full	Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
title_fullStr	Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
title_full_unstemmed	Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
title_sort	prediction on heart disease using multilayer neural network / lily syahira sabrina ab rahman
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty Of Business Management
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69703/1/69703.pdf
_version_	1783735902737006592

Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman

Similar Items