Neural Networks Approach In Diagnosing Classes Of Anaemia

Hundreds of haematology forms are directed to Haematology unit every day from various departments from physicians that need the right diagnosis in patient’s blood. The processing may take several days depending on the workload and available resources. A combination of various factors has to be cons...

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Main Author:	Shuzlina, Abdul Rahman
Format:	Thesis
Language:	eng eng
Published:	2000
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/213/1/SHUZLINA_BINTI_ABDUL_RAHMAN_-_Neural_Network_Approach_In_Diagnosing_....pdf https://etd.uum.edu.my/213/2/1.SHUZLINA_BINTI_ABDUL_RAHMAN_-_Neural_Network_Approach_In_Diagnosing_....pdf
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id	my-uum-etd.213
record_format	uketd_dc
spelling	my-uum-etd.2132022-06-07T04:35:58Z Neural Networks Approach In Diagnosing Classes Of Anaemia 2000 Shuzlina, Abdul Rahman Sekolah Siswazah Sekolah Siswazah QA76 Computer software Hundreds of haematology forms are directed to Haematology unit every day from various departments from physicians that need the right diagnosis in patient’s blood. The processing may take several days depending on the workload and available resources. A combination of various factors has to be considered before a haematologist can diagnose classes of anaemia and is normally performed in several stages. The process can actually be performed using neural network approach, as it is capable in pattern recognition. Knowing the relevant factors that influence anaemia classification, a model of neural network can be produced if it is trained with sufficient data sets. Hence, this thesis presents the neural network model for anaemia classification and identifies parameter that affects its performance using backpropagation. The model is then implemented and the performance of the neural network is assessed. The model was able to diagnose classes of anaemia with 7 1.5 6% generalization. Finally, the model was compared with Radial Basis Function and Regression model to show that Multilayer Perceptron outperforms the other two models. 2000 Thesis https://etd.uum.edu.my/213/ https://etd.uum.edu.my/213/1/SHUZLINA_BINTI_ABDUL_RAHMAN_-_Neural_Network_Approach_In_Diagnosing_....pdf text eng public https://etd.uum.edu.my/213/2/1.SHUZLINA_BINTI_ABDUL_RAHMAN_-_Neural_Network_Approach_In_Diagnosing_....pdf text eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76 Computer software
spellingShingle	QA76 Computer software Shuzlina, Abdul Rahman Neural Networks Approach In Diagnosing Classes Of Anaemia
description	Hundreds of haematology forms are directed to Haematology unit every day from various departments from physicians that need the right diagnosis in patient’s blood. The processing may take several days depending on the workload and available resources. A combination of various factors has to be considered before a haematologist can diagnose classes of anaemia and is normally performed in several stages. The process can actually be performed using neural network approach, as it is capable in pattern recognition. Knowing the relevant factors that influence anaemia classification, a model of neural network can be produced if it is trained with sufficient data sets. Hence, this thesis presents the neural network model for anaemia classification and identifies parameter that affects its performance using backpropagation. The model is then implemented and the performance of the neural network is assessed. The model was able to diagnose classes of anaemia with 7 1.5 6% generalization. Finally, the model was compared with Radial Basis Function and Regression model to show that Multilayer Perceptron outperforms the other two models.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Shuzlina, Abdul Rahman
author_facet	Shuzlina, Abdul Rahman
author_sort	Shuzlina, Abdul Rahman
title	Neural Networks Approach In Diagnosing Classes Of Anaemia
title_short	Neural Networks Approach In Diagnosing Classes Of Anaemia
title_full	Neural Networks Approach In Diagnosing Classes Of Anaemia
title_fullStr	Neural Networks Approach In Diagnosing Classes Of Anaemia
title_full_unstemmed	Neural Networks Approach In Diagnosing Classes Of Anaemia
title_sort	neural networks approach in diagnosing classes of anaemia
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2000
url	https://etd.uum.edu.my/213/1/SHUZLINA_BINTI_ABDUL_RAHMAN_-_Neural_Network_Approach_In_Diagnosing_....pdf https://etd.uum.edu.my/213/2/1.SHUZLINA_BINTI_ABDUL_RAHMAN_-_Neural_Network_Approach_In_Diagnosing_....pdf
_version_	1747826861975535616

Neural Networks Approach In Diagnosing Classes Of Anaemia

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