Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar

This project report presents the application of Artificial Neural Network (ANN) for forecasting the diabetes mellitus. The main objectives of this project are to forecast whether someone is the diabetes sufferer or not. The back-propagation algorithm of ANN has been chosen to train and test the data...

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Main Author:	Jaafar, Siti Farhanah
Format:	Thesis
Language:	English
Published:	2005
Subjects:	Neural Networks (Computer) Artificial intelligence
Online Access:	https://ir.uitm.edu.my/id/eprint/68947/1/68947.pdf
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id	my-uitm-ir.68947
record_format	uketd_dc
spelling	my-uitm-ir.689472023-01-06T02:43:38Z Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar 2005 Jaafar, Siti Farhanah Neural Networks (Computer). Artificial intelligence This project report presents the application of Artificial Neural Network (ANN) for forecasting the diabetes mellitus. The main objectives of this project are to forecast whether someone is the diabetes sufferer or not. The back-propagation algorithm of ANN has been chosen to train and test the data. Lots of studies carried out by many academia shows the performance of the neural network in predicting clinical outcomes accurately. Inputs of analysis are number of times pregnant, plasma glucose concentration, blood pressure, triceps skin fold thickness, serum insulin; body mass index, pedigree and age. The network with seven inputs is then tested and results obtained are compared in terms of analysis errors, number of inputs, number of layers and learning parameters. 2005 Thesis https://ir.uitm.edu.my/id/eprint/68947/ https://ir.uitm.edu.my/id/eprint/68947/1/68947.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mohd Ali, Darmawaty
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Ali, Darmawaty
topic	Neural Networks (Computer) Artificial intelligence
spellingShingle	Neural Networks (Computer) Artificial intelligence Jaafar, Siti Farhanah Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar
description	This project report presents the application of Artificial Neural Network (ANN) for forecasting the diabetes mellitus. The main objectives of this project are to forecast whether someone is the diabetes sufferer or not. The back-propagation algorithm of ANN has been chosen to train and test the data. Lots of studies carried out by many academia shows the performance of the neural network in predicting clinical outcomes accurately. Inputs of analysis are number of times pregnant, plasma glucose concentration, blood pressure, triceps skin fold thickness, serum insulin; body mass index, pedigree and age. The network with seven inputs is then tested and results obtained are compared in terms of analysis errors, number of inputs, number of layers and learning parameters.
format	Thesis
qualification_level	Bachelor degree
author	Jaafar, Siti Farhanah
author_facet	Jaafar, Siti Farhanah
author_sort	Jaafar, Siti Farhanah
title	Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar
title_short	Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar
title_full	Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar
title_fullStr	Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar
title_full_unstemmed	Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar
title_sort	diabetes mellitus forecast using artificial neural network (ann) / siti farhanah jaafar
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2005
url	https://ir.uitm.edu.my/id/eprint/68947/1/68947.pdf
_version_	1783735825787256832

Diabetes mellitus forecast using Artificial Neural Network (ANN) / Siti Farhanah Jaafar

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