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:en
en
Published: 2005
Subjects:
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
https://etd.uum.edu.my/1937/
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author Rohani, S. Mohamed Farook
author_facet Rohani, S. Mohamed Farook
author_sort Rohani, S. Mohamed Farook
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
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
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institution Universiti Utara Malaysia
language en
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spelling my.uum.etd-19372013-07-24T12:13:47Z https://etd.uum.edu.my/1937/ Case-Based Reasoning Approach For Thalassaemia Diagnosis Rohani, S. Mohamed Farook 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 NonPeerReviewed application/pdf en https://etd.uum.edu.my/1937/1/CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf application/pdf en https://etd.uum.edu.my/1937/2/1.CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf Rohani, S. Mohamed Farook (2005) Case-Based Reasoning Approach For Thalassaemia Diagnosis. Masters thesis, Faculty of Information Technology.
spellingShingle QA75 Electronic computers. Computer science
Rohani, S. Mohamed Farook
Case-Based Reasoning Approach For Thalassaemia Diagnosis
title 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_short Case-Based Reasoning Approach For Thalassaemia Diagnosis
title_sort case-based reasoning approach for thalassaemia diagnosis
topic QA75 Electronic computers. Computer science
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
https://etd.uum.edu.my/1937/
url_provider http://etd.uum.edu.my/