Early diagnosis and Prediction of Breast Cancer
Gagana B R1, Shraddha C2, Chethana H T3
1Gagana B R*, Student, Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India.
2Shraddha C, Assistant Professor, Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India. 3Chethana H T, Assistant Professor, Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India
Manuscript received on July 02, 2020. | Revised Manuscript received on July 10, 2020. | Manuscript published on August 30, 2020. | PP: 148-151 | Volume-9 Issue-6, August 2020. | Retrieval Number: F1280089620/2020©BEIESP | DOI: 10.35940/ijeat.F1280.089620
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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: Nowadays Cancer is one of the frequent diseases for all the humans in the world. Particularly, in women’s Breast Cancer is one of the most frequent diseases. Therefore, early detection and prevention of cancer is very important to get healthy life so we need to develop new techniques for diagnosis and prediction of cancer. Many ML techniques are used for early diagnosis and prediction of cancer. In this paper, we are proposing new techniques for the classification of Breast cancer and the time prediction when that breast cancer has occurred using some ML techniques and our proposed work is medical sector application. We compared our proposed methodology result with each other techniques to get the highest accurate value.
Keywords: Analysis, Breast Cancer, Classification, Early detection and prevention, Machine learning techniques, women.