Thalassaemia detection using CBR Algorithm via mobile device

This thesis proposes a Case-Based Reasoning model for medical diagnosis,particularly for Thalassaemia diagnosis. CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is...

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Main Author:	Nur Faezah, Omar
Format:	Undergraduates Project Papers
Language:	English
Published:	2011
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/4762/ http://umpir.ump.edu.my/id/eprint/4762/ http://umpir.ump.edu.my/id/eprint/4762/1/NUR_FAEZAH_BINTI_OMAR.PDF

id	ump-4762
recordtype	eprints
spelling	ump-47622015-03-03T09:20:59Z http://umpir.ump.edu.my/id/eprint/4762/ Thalassaemia detection using CBR Algorithm via mobile device Nur Faezah, Omar QA Mathematics This thesis proposes a Case-Based Reasoning model for medical diagnosis,particularly for Thalassaemia diagnosis. CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. The results show that the Case-Based Reasoning model has a great potential to be implemented in diagnosing Thalassaemia cases. 2011-05 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4762/1/NUR_FAEZAH_BINTI_OMAR.PDF Nur Faezah, Omar (2011) Thalassaemia detection using CBR Algorithm via mobile device. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:67772&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Nur Faezah, Omar Thalassaemia detection using CBR Algorithm via mobile device
description	This thesis proposes a Case-Based Reasoning model for medical diagnosis,particularly for Thalassaemia diagnosis. CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. The results show that the Case-Based Reasoning model has a great potential to be implemented in diagnosing Thalassaemia cases.
format	Undergraduates Project Papers
author	Nur Faezah, Omar
author_facet	Nur Faezah, Omar
author_sort	Nur Faezah, Omar
title	Thalassaemia detection using CBR Algorithm via mobile device
title_short	Thalassaemia detection using CBR Algorithm via mobile device
title_full	Thalassaemia detection using CBR Algorithm via mobile device
title_fullStr	Thalassaemia detection using CBR Algorithm via mobile device
title_full_unstemmed	Thalassaemia detection using CBR Algorithm via mobile device
title_sort	thalassaemia detection using cbr algorithm via mobile device
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/4762/ http://umpir.ump.edu.my/id/eprint/4762/ http://umpir.ump.edu.my/id/eprint/4762/1/NUR_FAEZAH_BINTI_OMAR.PDF
first_indexed	2023-09-18T21:59:40Z
last_indexed	2023-09-18T21:59:40Z
_version_	1777414313537961984

Thalassaemia detection using CBR Algorithm via mobile device

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