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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2005
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Online Access: | http://etd.uum.edu.my/1937/1/CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf http://etd.uum.edu.my/1937/2/1.CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf http://etd.uum.edu.my/1937/ |
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my.uum.etd.19372013-07-24T12:13:47Z http://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 http://etd.uum.edu.my/1937/1/CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf application/pdf en http://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. |
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QA75 Electronic computers. Computer science Rohani, S. Mohamed Farook Case-Based Reasoning Approach For Thalassaemia Diagnosis |
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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 |
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 |
publishDate |
2005 |
url |
http://etd.uum.edu.my/1937/1/CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf http://etd.uum.edu.my/1937/2/1.CASE-BASED_REASONING_APPROACH_FOR_THALASSAEMIA_DIAGNOSIS_-_ROHANI_S._MOHAMED_FAROOK.pdf http://etd.uum.edu.my/1937/ |
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