Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman

Prediction for Cardiovascular Disease by Using Artificial Neural Network System (PCVDANNS) is design to help paramedic and end user to learn and use this system easily. This research is to develop a PCVDANNS using cased based reasoning technique using main distance measure equation. The cased based...

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Main Author:	Nik Ab Rahman, Nik Anis
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Neural networks (Computer science) Data processing
Online Access:	https://ir.uitm.edu.my/id/eprint/31825/1/TD_NIK%20ANIS%20AB%20RAHMAN%20CS%20T%2012_5.pdf
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id	my-uitm-ir.31825
record_format	uketd_dc
spelling	my-uitm-ir.318252020-07-06T08:08:59Z Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman 2012 Nik Ab Rahman, Nik Anis Neural networks (Computer science). Data processing Computer applications to medicine. Medical informatics Neural Networks (Computer). Artificial intelligence Prediction for Cardiovascular Disease by Using Artificial Neural Network System (PCVDANNS) is design to help paramedic and end user to learn and use this system easily. This research is to develop a PCVDANNS using cased based reasoning technique using main distance measure equation. The cased based reasoning is one of Artificial Intelligent technique that can be implement in many area. The input of this system wil be age,body mass index (BMI), blood pressure,body fat,boold sugar, smoking habit and family history.Then this system will diagnose by using the input to predict the value to make the ouput result.This reseach methodology consist of four phases which are theoretical study, architecture design, prototype development and documentation.Besides, to complete this reseach, more than 100 data patients get from Dungun Health Department to satisfy the advantage of this system.This system is a web-based system and developed using JAVA as programming language.In the future, it is recommended that the prototype can learn from experience.The accuracy of this prototype is about 60 percent. 2012 Thesis https://ir.uitm.edu.my/id/eprint/31825/ https://ir.uitm.edu.my/id/eprint/31825/1/TD_NIK%20ANIS%20AB%20RAHMAN%20CS%20T%2012_5.pdf text en public degree Universiti Teknologi MARA,Terengganu Faculty of Computer Science and Mathematics Engku Azam., En. Engku Zain
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Engku Azam., En. Engku Zain
topic	Neural networks (Computer science) Data processing Neural networks (Computer science) Data processing Neural networks (Computer science) Data processing
spellingShingle	Neural networks (Computer science) Data processing Neural networks (Computer science) Data processing Neural networks (Computer science) Data processing Nik Ab Rahman, Nik Anis Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman
description	Prediction for Cardiovascular Disease by Using Artificial Neural Network System (PCVDANNS) is design to help paramedic and end user to learn and use this system easily. This research is to develop a PCVDANNS using cased based reasoning technique using main distance measure equation. The cased based reasoning is one of Artificial Intelligent technique that can be implement in many area. The input of this system wil be age,body mass index (BMI), blood pressure,body fat,boold sugar, smoking habit and family history.Then this system will diagnose by using the input to predict the value to make the ouput result.This reseach methodology consist of four phases which are theoretical study, architecture design, prototype development and documentation.Besides, to complete this reseach, more than 100 data patients get from Dungun Health Department to satisfy the advantage of this system.This system is a web-based system and developed using JAVA as programming language.In the future, it is recommended that the prototype can learn from experience.The accuracy of this prototype is about 60 percent.
format	Thesis
qualification_level	Bachelor degree
author	Nik Ab Rahman, Nik Anis
author_facet	Nik Ab Rahman, Nik Anis
author_sort	Nik Ab Rahman, Nik Anis
title	Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman
title_short	Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman
title_full	Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman
title_fullStr	Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman
title_full_unstemmed	Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman
title_sort	prediction for cardiovascular disease by using artificial neural network system / nik anis nik ab rahman
granting_institution	Universiti Teknologi MARA,Terengganu
granting_department	Faculty of Computer Science and Mathematics
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/31825/1/TD_NIK%20ANIS%20AB%20RAHMAN%20CS%20T%2012_5.pdf
_version_	1783734141937778688

Prediction for cardiovascular disease by using artificial neural network system / Nik Anis Nik Ab Rahman

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