A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method

A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method Publisher

Nilashi M^{1, 2} ; Ibrahim O¹ ; Ahmadi H³ ; Shahmoradi L³

Show Affiliations

1. Faculty of Computing, Universiti Teknologi Malaysia, Skudai, 81310, Malaysia
2. Department of Computer Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran
3. Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, 5th Floor, No #17, Farredanesh Alley, Ghods St, Enghelab Ave, Tehran, Iran

Source: Telematics and Informatics Published:2017

Abstract

Breast cancer has become a common disease around the world. Expert systems are valuable tools that have been successful for the disease diagnosis. In this research, we accordingly develop a new knowledge-based system for classification of breast cancer disease using clustering, noise removal, and classification techniques. Expectation Maximization (EM) is used as a clustering method to cluster the data in similar groups. We then use Classification and Regression Trees (CART) to generate the fuzzy rules to be used for the classification of breast cancer disease in the knowledge-based system of fuzzy rule-based reasoning method. To overcome the multi-collinearity issue, we incorporate Principal Component Analysis (PCA) in the proposed knowledge-based system. Experimental results on Wisconsin Diagnostic Breast Cancer and Mammographic mass datasets show that proposed methods remarkably improves the prediction accuracy of breast cancer. The proposed knowledge-based system can be used as a clinical decision support system to assist medical practitioners in the healthcare practice. © 2017 Elsevier Ltd

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Experts (# of related papers)

Leila Shahmoradi (2)

Sharareh Rostam Niakan Kalhori (1)

Style	Citing Format
MLA	Nilashi M, et al.. "A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method." Telematics and Informatics, vol. 34, no. 4, 2017, pp. 133-144.
APA	Nilashi M, Ibrahim O, Ahmadi H, Shahmoradi L (2017). A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method. Telematics and Informatics, 34(4), 133-144.
Chicago	Nilashi M, Ibrahim O, Ahmadi H, Shahmoradi L. "A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method." Telematics and Informatics 34, no. 4 (2017): 133-144.
Harvard	Nilashi M et al. (2017) 'A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method', Telematics and Informatics, 34(4), pp. 133-144.
Vancouver	Nilashi M, Ibrahim O, Ahmadi H, Shahmoradi L. A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method. Telematics and Informatics. 2017;34(4):133-144.
BibTex	@article{ author = {Nilashi M and Ibrahim O and Ahmadi H and Shahmoradi L}, title = {A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method}, journal = {Telematics and Informatics}, volume = {34}, number = {4}, pages = {133-144}, year = {2017} }
RIS	TY - JOUR AU - Nilashi M AU - Ibrahim O AU - Ahmadi H AU - Shahmoradi L TI - A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method JO - Telematics and Informatics VL - 34 IS - 4 SP - 133 EP - 144 PY - 2017 ER -

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