Evolutionary Modular Neural Network Approach for Breast Cancer Diagnosis
Knowledge Discovery paradigms especially Soft Computing techniques like Artificial Neural Networks have been at the fore front of research aimed at solving the problem areas involved in many diverse fields of application. Automated diagnosis of deadly diseases is one of such fields that have seen much effort from researchers in the last few years. One area where this effort has been most felt is the diagnosis of breast cancer in women. However, development of a computationally efficient, detection-wise effective and robust framework for the diagnosis of breast cancer has still not materialized. The major problem here is the presence of a number of decision variables involved that makes this problem of diagnosis much more complex and intricate. This makes it difficult to be tackled by traditional computing paradigms efficiently. In this paper, we explain how the paradigms of modularity and optimization using evolutionary technique could be used to solve the aforesaid problem with significant success. Here, to take benefit of modularity, we make of use modular neural network instead of the traditional monolithic neural network for the recognition of input vectors implying breast cancer. Also, to make the architecture more optimal, we make use of genetic algorithms to achieve optimal connections (weights) among the neurons in each of the individual experts of the modular neural network. Experimental results show that the proposed approach has been significantly successful in dealing with aforesaid problem of breast cancer diagnosis with a training accuracy of 95.97% and testing accuracy of 96.5%. That is well above what shown by traditional approaches as described later on.
Keywords: Breast Cancer Diagnosis, Genetic Algorithm, Modularity, Artificial Neural Network, Hybrid Computing.
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ABOUT THE AUTHORS
Bipul Pandey
Bipul Pandey received his Bachelor (B.Tech) and Master degree (M.Tech) from Indian Institute of Information Technology and Management, Gwalior, India. He is currently employed as Assistant Systems Engineer at Tata Consultancy Limited, India. He has authored six research papers published in reputed international journals and conferences. His areas of research are soft computing, hybrid system design, Bioinformatics, Biomedicals and Biometrics. He focuses his research initiatives for presenting innovative technological solutions involving soft computing for connecting common problems to their more intelligent solutions.
Tarun Jain
Tarun Jain received his Bachelor Degree in Biotechnology from Thapar University, Patiala, India. He is currently Assistant Systems Engineer at Tata Consultancy Services, India.He is author of various International Journals in field of Biopharmaceuticals and Nanobiotechnology. Also, his research has been presented in various National and International Conferences. He focuses his interdisciplinary research on the field of Life science and Healthcare related issues.
Vishal Kothari
Vishal Kothari received his Bachelors Degree From MIT, Ujjain, India. He received his Masters Degree from Indian Institute of Information Technology and Management, Gwalior, India. He is currently employed as Assistant Systems Engineer at Tata Consultancy Limited, India. He focuses his research initiative in the field of Bioinformatics and Soft Computing.
Tarush Grover
Tarush Grover received his Bachelor Degree from Thapar University, Patiala, India. He is currently Assistant Systems Engineer at Tata Consultancy Services, India. His areas of interest include Soft Computing and Biometrics.
Bipul Pandey
Bipul Pandey received his Bachelor (B.Tech) and Master degree (M.Tech) from Indian Institute of Information Technology and Management, Gwalior, India. He is currently employed as Assistant Systems Engineer at Tata Consultancy Limited, India. He has authored six research papers published in reputed international journals and conferences. His areas of research are soft computing, hybrid system design, Bioinformatics, Biomedicals and Biometrics. He focuses his research initiatives for presenting innovative technological solutions involving soft computing for connecting common problems to their more intelligent solutions.
Tarun Jain
Tarun Jain received his Bachelor Degree in Biotechnology from Thapar University, Patiala, India. He is currently Assistant Systems Engineer at Tata Consultancy Services, India.He is author of various International Journals in field of Biopharmaceuticals and Nanobiotechnology. Also, his research has been presented in various National and International Conferences. He focuses his interdisciplinary research on the field of Life science and Healthcare related issues.
Vishal Kothari
Vishal Kothari received his Bachelors Degree From MIT, Ujjain, India. He received his Masters Degree from Indian Institute of Information Technology and Management, Gwalior, India. He is currently employed as Assistant Systems Engineer at Tata Consultancy Limited, India. He focuses his research initiative in the field of Bioinformatics and Soft Computing.
Tarush Grover
Tarush Grover received his Bachelor Degree from Thapar University, Patiala, India. He is currently Assistant Systems Engineer at Tata Consultancy Services, India. His areas of interest include Soft Computing and Biometrics.
