Machine Learning Techniques for Detecting and Predicting Breast Cancer
Rati Shukla1, Vikash Yadav2, Parashu Ram Pal3, Pankaj Pathak4
1Rati Shukla, GIS Cell, MNNIT Allahabad (U.P), India.
2Vikash Yadav, Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad (U.P), India.
3Parashu Ram Pal, Department of Information Technology and Engineering, ABES Engineering College, Ghaziabad (U.P), India.
4Pankaj Pathak, Symbiosis International (Deemed University), Pune (Maharashtra), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 2658-2662 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5859058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Breast cancer is a syndrome that causes hues numbers of casualty every year due to ineffectiveness of proper filtering and appropriate classification methods. Breast Cancer is not one of the homogeneous diseases that differ greatly among different categories of Cancer sufferer and even within each individual tumor. Classification of cancer sufferer using Machine Learning methodologies in different class of risk criterion such as high, low and medium has led many research dimensions of life science data. Therefore, Machine Learning is one of the very use full methodologies to study and design the different class of development and prognosis of cancerous situation. Machine learning methods are very powerful and effective tool for key feature extraction and classification form complex cancerous data set. In this study, we put forward applicability of different Machine Learning classification techniques employed in the prediction and prognosis of Breast Cancer.
Keyword: Breast Cancer, Classification, Neural Network, Support Vector Machine, Cancer Susceptibility.
Scope of the Article: Machine Learning