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311961

A Wrapper Feature Selection Technique for Improving Diagnosis of Breast Cancer

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Last updated: 28 Dec 2024

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Abstract

 Nowadays, cancer is considered as a fairly common disease. Regarding the number of newly detected cases, breast cancer is ranked as one of the most leading cancer types to death in women. It can be cured, if it is identified and treated in its early stages. Therefore, this study explores a proposed integrated wrapper feature selection method called wrapper
naïve-greedy search (WNGS) to improve the accuracy of the breast cancer diagnosis. WNGS is based on a wrapper
method, which is blended with a greedy forward search to select optimal feature subset. WNGS method integrates a
wrapper method based on Naïve Bayes (NB) classifier as a learning scheme with a forward greedy search method. Then,
the selected feature subset is fed to a classifier to determine breast cancer. In addition, K-nearest neighbor-greedy search
(KNN-GS) is used for comparison. In KNN-GS method, knearest neighbor (KNN) classifier is used as a learning
scheme while a forward greedy search method is used to search through features. NB is used as the classifier for
classification process for both methods. By applying these two methods, data features are reduced, and the classification
rate is improved. Both methods are tested on two different benchmark breast cancer datasets. Accuracy results showed
that WNGS method outperformed KNN-GS method. Also, WNGS method overcame KNN-GS regarding precision,
recall, F-measure, and sensitivity. 

DOI

10.21608/mjcis.2017.311961

Keywords

Cancer Classification, Feature Selection, Naïve Bayes (NB), Forward Greedy Search

Authors

First Name

Amal

Last Name

F. Goweda

MiddleName

-

Affiliation

Faculty of computers and information systems , I.S dep. Mansoura University, Egypt

Email

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City

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Orcid

-

First Name

Mohammed

Last Name

Elmogy

MiddleName

-

Affiliation

Faculty of computers and information systems , I.T dep. Mansoura University, Egypt

Email

melmogy@mans.edu.eg

City

-

Orcid

0000-0002-2504-6051

First Name

Sherif

Last Name

Barakat

MiddleName

-

Affiliation

Faculty of computers and information systems , I.S dep. Mansoura University, Egypt

Email

sheiib@mans.edu.eg

City

-

Orcid

-

Volume

13

Article Issue

1

Related Issue

42818

Issue Date

2017-12-01

Receive Date

2023-08-09

Publish Date

2017-12-01

Page Start

43

Page End

49

Print ISSN

2090-1666

Online ISSN

2090-1674

Article File

MJCIS_Volume 13_Issue 1_Pages 43-49.pdf

PDF . 610.1kB

Link

https://mjcis.journals.ekb.eg/article_311961.html

Detail API

https://mjcis.journals.ekb.eg/service?article_code=311961

Order

311,961

Type

Original Research Articles.

Type Code

1,784

Publication Type

Journal

Publication Title

Mansoura Journal for Computer and Information Sciences

Publication Link

https://mjcis.journals.ekb.eg/

MainTitle

A Wrapper Feature Selection Technique for Improving Diagnosis of Breast Cancer

Details

Type

Article

Created At

28 Dec 2024