Case-Based Reasoning Approach For Thalassaemia Diagnosis

This thesis proposes a Case-based Reasoning model for medical diagnosis, particularly for Thalassaemia diagnosis. The model is designed and a prototype is developed to test the diagnosis accuracy of the model. Two local similarity combined with two global similarity is evaluated to identify the sui...

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Main Author:	Rohani, S. Mohamed Farook
Format:	Thesis
Language:	eng eng
Published:	2005
Subjects:	QA75 Electronic computers Computer science
Online Access:	https://etd.uum.edu.my/1937/1/CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf https://etd.uum.edu.my/1937/2/1.CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf
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record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Rohani, S. Mohamed Farook Case-Based Reasoning Approach For Thalassaemia Diagnosis
description	This thesis proposes a Case-based Reasoning model for medical diagnosis, particularly for Thalassaemia diagnosis. The model is designed and a prototype is developed to test the diagnosis accuracy of the model. Two local similarity combined with two global similarity is evaluated to identify the suitable similarity function for the model. The appropriate K value for Nearest Neighbour also identified for this model. Finally, the testing done using leave one out method on Thalassaemia cases from Alor Star General Hospital and the testing demonstrates 88% of diagnosis accuracy. The results show that case-based reasoning model has a great potential to be implemented in diagnosing thalassaemia cases.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Rohani, S. Mohamed Farook
author_facet	Rohani, S. Mohamed Farook
author_sort	Rohani, S. Mohamed Farook
title	Case-Based Reasoning Approach For Thalassaemia Diagnosis
title_short	Case-Based Reasoning Approach For Thalassaemia Diagnosis
title_full	Case-Based Reasoning Approach For Thalassaemia Diagnosis
title_fullStr	Case-Based Reasoning Approach For Thalassaemia Diagnosis
title_full_unstemmed	Case-Based Reasoning Approach For Thalassaemia Diagnosis
title_sort	case-based reasoning approach for thalassaemia diagnosis
granting_institution	Faculty of Information Technology
granting_department	Faculty of Information Technology
publishDate	2005
url	https://etd.uum.edu.my/1937/1/CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf https://etd.uum.edu.my/1937/2/1.CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf
_version_	1747827236092772352
spelling	my-uum-etd.19372013-07-24T12:13:47Z Case-Based Reasoning Approach For Thalassaemia Diagnosis 2005 Rohani, S. Mohamed Farook Faculty of Information Technology Universiti Utara Malaysia QA75 Electronic computers. Computer science This thesis proposes a Case-based Reasoning model for medical diagnosis, particularly for Thalassaemia diagnosis. The model is designed and a prototype is developed to test the diagnosis accuracy of the model. Two local similarity combined with two global similarity is evaluated to identify the suitable similarity function for the model. The appropriate K value for Nearest Neighbour also identified for this model. Finally, the testing done using leave one out method on Thalassaemia cases from Alor Star General Hospital and the testing demonstrates 88% of diagnosis accuracy. The results show that case-based reasoning model has a great potential to be implemented in diagnosing thalassaemia cases. 2005 Thesis https://etd.uum.edu.my/1937/ https://etd.uum.edu.my/1937/1/CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf application/pdf eng validuser https://etd.uum.edu.my/1937/2/1.CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf application/pdf eng public masters masters Faculty of Information Technology Aamodt, A. & Plaza, A. (1994). Case—Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AICom-Artyicial Intelligence Communication, IOS Press, 7: l, pp, 39-59. Aha, D. & Breslow, L, (1997). Refining conversational case libraries. Proceedings of the Second International Conference on Case-Based Reasoning. 267-278, Berlin: Springer Verlag. Aha, D.W. (1998). The Omnipresence of Case-Based Reasoning in Science and Application. 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Case-Based Reasoning Approach For Thalassaemia Diagnosis

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