Application of Machine Learning Techniques in Predicting Breast Cancer – A Survey
K. Prasuna1, K.V.S.N. Rama Rao2, CH. M.H. Saibaba3
1K. Prasuna, Department of CSE, Koneru laksh maiah Education Foundation, Vadde swaram, Guntur district, A.P, India.
2K.V.S.N. Rama Rao, Department of CSE, Koneru laksh maiah Education Foundation, Vadde swaram, Guntur district, A.P, India.
3CH. M.H. Saibaba, Department of CSE, Koneru laksh maiah Education Foundation, Vadde swaram, Guntur district, A.P, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 826-832 | Volume-8 Issue-8, June 2019 | Retrieval Number: F4064048619/19©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: In counties like India where population is on the rise and living conditions are improving, medical field remained the focal area. In the era of Artificial Intelligence, Machine Learning is getting prominence in diverse areas as it provides an accurate solution to wide range of problems in medical domains. Breast cancer is a disease that is posing a challenge to women health all over the world. The global scenario indicates that breast cancer stands in second place with regard to causing deaths among the females when it comes to the cancer casualities. However, breast cancer is a curable disease if it can be diagnosed early. Most of the deaths in women between the age of 40 and 55 are due to breast cancer. As per the WHO report, approximately 1.2 millions of people are suffering from breast cancer every year all over the world . This paper aims on discussing breast cancer in women and several machine learning techniques proposed by the researchers in diagnosing the disease.
Keyword: Breast cancer, Diagnosis, Machine learning, Prognosis, Recurrence, Survivability.
Scope of the Article: Artificial Intelligence and Machine. Learning