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Optimizing Number of Inputs to Classify Breast Cancer Using Artificial Neural Network | OMICS International | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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Research Article

Optimizing Number of Inputs to Classify Breast Cancer Using Artificial Neural Network

Bindu Garg1*, M.M. Sufian Beg2 and A.Q. Ansari3

1Department of Computer Science and Information Technology, Institute Of Technology and Management, Sec-23 A, Gurgaon-122017, India, [email protected]

2 Department of Computer Engineering, Jamia Millia Islamia, Jamia Nagar, New Delhi-110025 India, [email protected]

3Department of Electrical Engineering, Jamia Millia Islamia, Jamia Nagar, New Delhi-110025, India, [email protected]

*Corresponding Author:
Dr. Bindu Garg
Department of Computer Science and Information Technology,
Institute Of Technology and Management,
Sec-23 A, Gurgaon-122017, India,
E-mail : [email protected]

Received date: July 07, 2009; Accepted date: August 25, 2009; Published date: August 26, 2009

Citation: Garg B, Sufian Beg MM, Ansari AQ (2009) Optimizing Number of Inputs to Classify Breast Cancer Using Artificial Neural Network. J Comput Sci Syst Biol 2:247-254. doi:10.4172/jcsb.1000037

Copyright: © 2009 Garg B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The Objective of this research work is to prove significant role of each attribute to decide breast cancer type using Computer Aided Diagnosis. One of major challenges in medical domain is the extraction of intelligible knowledge from medical diagnostic data in minimum time and cost This research shows that out of these attributes stated, some attributes can be ignored to decide the type Breast Cancer as if the number of inputs are less then it reduces the time and cost in analyzing the breast cancer. In this paper, significant role of each attribute is proved by experiment in matlab.

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