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Breast cancer detector software (BCDS) using case-based reasoning

These studies are being conducted to determine the most suitable Artificial Intelligent Technique to be implement in software Breast Cancer Detector (CBR). Breast Cancer Detector problem is to compare similarity of the new case to the old case which is have more than hundred record case. This is to...

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Main Author: Ahmad Bukhari, Abdullah
Format: Undergraduates Project Papers
Language:English
Published: 2015
Subjects:
QA76 Computer software
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/13455/1/16.Breast%20cancer%20detector%20software%20%28BCDS%29%20using%20case-based%20reasoning.pdf
http://umpir.ump.edu.my/id/eprint/13455/
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spelling my.ump.umpir.134552023-06-26T09:33:30Z http://umpir.ump.edu.my/id/eprint/13455/ Breast cancer detector software (BCDS) using case-based reasoning Ahmad Bukhari, Abdullah QA76 Computer software T Technology (General) These studies are being conducted to determine the most suitable Artificial Intelligent Technique to be implement in software Breast Cancer Detector (CBR). Breast Cancer Detector problem is to compare similarity of the new case to the old case which is have more than hundred record case. This is to ensure the less take time to compare one by one over the hundred case to a new case. The objective of this project is to develope the prototype to do the comparism of a new case with existing case of the breast cancer. Case Base Reasoning (CBR) is capable of solving the measurement of similarity and less take time to find the highest similarity. CBR consist four phase to be done to solve the similarity measurement. The first phase is retrieve that is problem (new case) is retreived. The second phase is reuse that is reuse the solved case and calculate to find the suggested solution orit called the highest similarity in percentage. The third phase is revise which is process to confirm solution (teste or repaired case). The last phase is retain. The machine learn in other mean the machine save the new case if the new case does not have the highest similarity and the doctor should do the phisycal check. The calculation that used to calculate the similarity measure is called Feature-Based Similarity Measure algorithm. 2015 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/13455/1/16.Breast%20cancer%20detector%20software%20%28BCDS%29%20using%20case-based%20reasoning.pdf Ahmad Bukhari, Abdullah (2015) Breast cancer detector software (BCDS) using case-based reasoning. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
T Technology (General)
spellingShingle QA76 Computer software
T Technology (General)
Ahmad Bukhari, Abdullah
Breast cancer detector software (BCDS) using case-based reasoning
description These studies are being conducted to determine the most suitable Artificial Intelligent Technique to be implement in software Breast Cancer Detector (CBR). Breast Cancer Detector problem is to compare similarity of the new case to the old case which is have more than hundred record case. This is to ensure the less take time to compare one by one over the hundred case to a new case. The objective of this project is to develope the prototype to do the comparism of a new case with existing case of the breast cancer. Case Base Reasoning (CBR) is capable of solving the measurement of similarity and less take time to find the highest similarity. CBR consist four phase to be done to solve the similarity measurement. The first phase is retrieve that is problem (new case) is retreived. The second phase is reuse that is reuse the solved case and calculate to find the suggested solution orit called the highest similarity in percentage. The third phase is revise which is process to confirm solution (teste or repaired case). The last phase is retain. The machine learn in other mean the machine save the new case if the new case does not have the highest similarity and the doctor should do the phisycal check. The calculation that used to calculate the similarity measure is called Feature-Based Similarity Measure algorithm.
format Undergraduates Project Papers
author Ahmad Bukhari, Abdullah
author_facet Ahmad Bukhari, Abdullah
author_sort Ahmad Bukhari, Abdullah
title Breast cancer detector software (BCDS) using case-based reasoning
title_short Breast cancer detector software (BCDS) using case-based reasoning
title_full Breast cancer detector software (BCDS) using case-based reasoning
title_fullStr Breast cancer detector software (BCDS) using case-based reasoning
title_full_unstemmed Breast cancer detector software (BCDS) using case-based reasoning
title_sort breast cancer detector software (bcds) using case-based reasoning
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/13455/1/16.Breast%20cancer%20detector%20software%20%28BCDS%29%20using%20case-based%20reasoning.pdf
http://umpir.ump.edu.my/id/eprint/13455/
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score 13.211869

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