Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli

There are a lot oftechniques that can be used to make predictions, but the technique which is suitable to be used to make this prediction is Artificial Neural Network system. Back-propagation is one ofthe feed-forward techniques that can be used when we know what the output that will carry out after...

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Main Author:	Zulkifli, Nur Izzati
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Back propagation (Artificial intelligence) Malaysia Hypertension
Online Access:	https://ir.uitm.edu.my/id/eprint/35113/1/35113.pdf
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id	my-uitm-ir.35113
record_format	uketd_dc
spelling	my-uitm-ir.351132020-10-13T07:22:38Z Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli 2012 Zulkifli, Nur Izzati Back propagation (Artificial intelligence) Malaysia Hypertension There are a lot oftechniques that can be used to make predictions, but the technique which is suitable to be used to make this prediction is Artificial Neural Network system. Back-propagation is one ofthe feed-forward techniques that can be used when we know what the output that will carry out after the data keyed in. this problem also occurs in adolescents and children. Many who know this disease is caused by the existing symptoms such as severe headaches, nose bleeds, blurred vision, palpitations and stress. The objective ofthe research, firstly, to understand about determination the hypertension risk using Artificial Neural Network, secondly, to propose prediction model of Hypertension risk using Artificial Neural Network engine. Lastly, to test and evaluate new data Hypertension's Patient using prediction model. The Prediction used in Neural Network technique is whereby some of the data about the parameter of Hypertension like age, BMI level, Blood Pressure(Systolic and Diastolic), Smoking Habit and Family History to see whether the persons have hypertension or not. As a result of this project, the system is user friendly and easy to use especially the doctor to check their patient have hypertension or not before get treatment or other people to check their hypertension disease. 2012 Thesis https://ir.uitm.edu.my/id/eprint/35113/ https://ir.uitm.edu.my/id/eprint/35113/1/35113.pdf text en public degree Universiti Teknologi MARA,Terengganu Faculty of Computer & Mathematical Sciences Engku Azam, Engku Zain
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Engku Azam, Engku Zain
topic	Back propagation (Artificial intelligence) Malaysia Hypertension
spellingShingle	Back propagation (Artificial intelligence) Malaysia Hypertension Zulkifli, Nur Izzati Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
description	There are a lot oftechniques that can be used to make predictions, but the technique which is suitable to be used to make this prediction is Artificial Neural Network system. Back-propagation is one ofthe feed-forward techniques that can be used when we know what the output that will carry out after the data keyed in. this problem also occurs in adolescents and children. Many who know this disease is caused by the existing symptoms such as severe headaches, nose bleeds, blurred vision, palpitations and stress. The objective ofthe research, firstly, to understand about determination the hypertension risk using Artificial Neural Network, secondly, to propose prediction model of Hypertension risk using Artificial Neural Network engine. Lastly, to test and evaluate new data Hypertension's Patient using prediction model. The Prediction used in Neural Network technique is whereby some of the data about the parameter of Hypertension like age, BMI level, Blood Pressure(Systolic and Diastolic), Smoking Habit and Family History to see whether the persons have hypertension or not. As a result of this project, the system is user friendly and easy to use especially the doctor to check their patient have hypertension or not before get treatment or other people to check their hypertension disease.
format	Thesis
qualification_level	Bachelor degree
author	Zulkifli, Nur Izzati
author_facet	Zulkifli, Nur Izzati
author_sort	Zulkifli, Nur Izzati
title	Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
title_short	Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
title_full	Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
title_fullStr	Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
title_full_unstemmed	Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
title_sort	prediction system for determination of hypertension risk using artificial neural network / nur izzati zulkifli
granting_institution	Universiti Teknologi MARA,Terengganu
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/35113/1/35113.pdf
_version_	1783734290339594240

Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli

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