Diagnosis of breast cancer using case-based reasoning

The objective for this thesis is to develop an intelligent decision support application for diagnosis of breast cancer using Case-Based Reasoning (CBR) algorithm for predict the class of cancer for patients. The number of expertises in the medical domain about the breast cancer is limited. Many pati...

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Main Author:	Nurramlah, Abu Nasir
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/7014/ http://umpir.ump.edu.my/id/eprint/7014/ http://umpir.ump.edu.my/id/eprint/7014/1/DIAGNOSIS_OF_BREAST_CANCER_USING_CASE-BASED_REASONING.pdf

id	ump-7014
recordtype	eprints
spelling	ump-70142015-03-03T09:33:52Z http://umpir.ump.edu.my/id/eprint/7014/ Diagnosis of breast cancer using case-based reasoning Nurramlah, Abu Nasir QA Mathematics The objective for this thesis is to develop an intelligent decision support application for diagnosis of breast cancer using Case-Based Reasoning (CBR) algorithm for predict the class of cancer for patients. The number of expertises in the medical domain about the breast cancer is limited. Many patients have to wait too long to get their result from the check-up. The experience medical staffs are decreasing in number. When they retired, the new staffs will be replacing their places. So they have to learn many things related to their work. The application is very useful in the management of the problem and aids the inexperience physicians to check their diagnosis. It is to help the expert doctors or medical staffs in their breast cancer diagnosis. The methodology used in the application is Rapid Application Development (RAD) because it promotes the accuracy application development and delivery and reduced the cycle time. The application used the 100 data of Wisconsin Breast Cancer dataset for evaluating the CBR algorithm. This dataset is retrieved from UCI Machine Learning. The data used in this application consists of 9 attributes where the result of each case will be classified either non-cancerous (benign) or cancerous (malignant) group. 2012 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7014/1/DIAGNOSIS_OF_BREAST_CANCER_USING_CASE-BASED_REASONING.pdf Nurramlah, Abu Nasir (2012) Diagnosis of breast cancer using case-based reasoning. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:76626&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 Nurramlah, Abu Nasir Diagnosis of breast cancer using case-based reasoning
description	The objective for this thesis is to develop an intelligent decision support application for diagnosis of breast cancer using Case-Based Reasoning (CBR) algorithm for predict the class of cancer for patients. The number of expertises in the medical domain about the breast cancer is limited. Many patients have to wait too long to get their result from the check-up. The experience medical staffs are decreasing in number. When they retired, the new staffs will be replacing their places. So they have to learn many things related to their work. The application is very useful in the management of the problem and aids the inexperience physicians to check their diagnosis. It is to help the expert doctors or medical staffs in their breast cancer diagnosis. The methodology used in the application is Rapid Application Development (RAD) because it promotes the accuracy application development and delivery and reduced the cycle time. The application used the 100 data of Wisconsin Breast Cancer dataset for evaluating the CBR algorithm. This dataset is retrieved from UCI Machine Learning. The data used in this application consists of 9 attributes where the result of each case will be classified either non-cancerous (benign) or cancerous (malignant) group.
format	Undergraduates Project Papers
author	Nurramlah, Abu Nasir
author_facet	Nurramlah, Abu Nasir
author_sort	Nurramlah, Abu Nasir
title	Diagnosis of breast cancer using case-based reasoning
title_short	Diagnosis of breast cancer using case-based reasoning
title_full	Diagnosis of breast cancer using case-based reasoning
title_fullStr	Diagnosis of breast cancer using case-based reasoning
title_full_unstemmed	Diagnosis of breast cancer using case-based reasoning
title_sort	diagnosis of breast cancer using case-based reasoning
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/7014/ http://umpir.ump.edu.my/id/eprint/7014/ http://umpir.ump.edu.my/id/eprint/7014/1/DIAGNOSIS_OF_BREAST_CANCER_USING_CASE-BASED_REASONING.pdf
first_indexed	2023-09-18T22:03:15Z
last_indexed	2023-09-18T22:03:15Z
_version_	1777414539211440128

Diagnosis of breast cancer using case-based reasoning

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