Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad

Tuberculosis could be predicted using the Artificial Neural Network. This system will reduce the time and cost to predict the tuberculosis disease. ANN will use past datas to run and compare with the new data that will predict whether the individual contracted tuberculosis disease or not. There are...

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Bibliographic Details
Main Author:	Mamat @ Mohammad, Farisah
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Medical personnel and the public Physician and the public Communicable diseases and public health Tuberculosis
Online Access:	https://ir.uitm.edu.my/id/eprint/35180/1/35180.pdf
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id	my-uitm-ir.35180
record_format	uketd_dc
spelling	my-uitm-ir.351802020-10-13T07:58:33Z Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad 2012-01 Mamat @ Mohammad, Farisah Medical personnel and the public. Physician and the public Communicable diseases and public health Tuberculosis Tuberculosis could be predicted using the Artificial Neural Network. This system will reduce the time and cost to predict the tuberculosis disease. ANN will use past datas to run and compare with the new data that will predict whether the individual contracted tuberculosis disease or not. There are a lot of techniques that can be used to make predictions, but the technique which is suitable to be used to make this prediction is neural network system This is because the neural network has two other types of techniques which can be used as feed forward and backward techniques. Back-propagation is one of the feed forward techniques that can be used when we know what the output that will carry out after the information (data) are keyed in. The prediction used in Neural Network technique is whereby some of the data about the symptoms of tuberculosis are used as prediction to see whether the suspected person is infected with tuberculosis or not. The prototype used is in form of an engine that makes some data predictions accuracy are almost the same or even better than previous manual data process. 2012-01 Thesis https://ir.uitm.edu.my/id/eprint/35180/ https://ir.uitm.edu.my/id/eprint/35180/1/35180.pdf text en public degree Universiti Teknologi MARA Terengganu Faculty of Computer & Mathematical Sciences Mohamed Said, Mohamed Faidz
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamed Said, Mohamed Faidz
topic	Medical personnel and the public Physician and the public Communicable diseases and public health Tuberculosis
spellingShingle	Medical personnel and the public Physician and the public Communicable diseases and public health Tuberculosis Mamat @ Mohammad, Farisah Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad
description	Tuberculosis could be predicted using the Artificial Neural Network. This system will reduce the time and cost to predict the tuberculosis disease. ANN will use past datas to run and compare with the new data that will predict whether the individual contracted tuberculosis disease or not. There are a lot of techniques that can be used to make predictions, but the technique which is suitable to be used to make this prediction is neural network system This is because the neural network has two other types of techniques which can be used as feed forward and backward techniques. Back-propagation is one of the feed forward techniques that can be used when we know what the output that will carry out after the information (data) are keyed in. The prediction used in Neural Network technique is whereby some of the data about the symptoms of tuberculosis are used as prediction to see whether the suspected person is infected with tuberculosis or not. The prototype used is in form of an engine that makes some data predictions accuracy are almost the same or even better than previous manual data process.
format	Thesis
qualification_level	Bachelor degree
author	Mamat @ Mohammad, Farisah
author_facet	Mamat @ Mohammad, Farisah
author_sort	Mamat @ Mohammad, Farisah
title	Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad
title_short	Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad
title_full	Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad
title_fullStr	Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad
title_full_unstemmed	Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad
title_sort	tuberculosis prediction system using artificial neural network / farisah mamat @ mohammad
granting_institution	Universiti Teknologi MARA Terengganu
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/35180/1/35180.pdf
_version_	1783734294131245056

Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad

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