Analysis of Machine Learning Techniques for Breast Cancer Prediction

  • Mrs N. Vanitha Assistant Professor, Department of Information Technology, N.G.P Arts and Science College Coimbatore, INDIA
  • R. Srimathi Student, Department of Information Technology, N.G.P Arts and Science College Coimbatore, INDIA
  • J Haritha Student, Department of Information Technology, N.G.P Arts and Science College Coimbatore, INDIA
Keywords: Breast Cancer, Prediction, Machine Learning

Abstract

The most frequently happening cancer among Indian women is breast cancer, which is the second most exposed cancer in the world. Here is a chance of fifty percent for fatality in a case as one of two women diagnosed with breast cancer die in the cases of Indian women.  With the rapid population growth, the risk of death incurred by breast cancer is rising exponentially. [2] Breast cancer is the second most severe cancer among all of the cancers already unveiled. A machine learning technique discovers illness which helps clinical staffs in sickness analysis and offers dependable, powerful, and quick reaction just as diminishes the danger of death. In this paper, we look at five administered AI methods named Support vector machine (SVM), K-closest neighbours, irregular woodlands, fake/ Artificial neural organizations (ANNs). The performance of the study is measured with respect to accuracy, sensitivity, specificity, precision, negative predictive value. Furthermore, these strategies were evaluated on exactness review region under bend and beneficiary working trademark bend. At last in this paper we analysed some of different papers to find how they are predicted and what are all the techniques they were used and finally we study the complete research of machine learning techniques for breast cancer.

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References

Naveen & Dr. K Sharma. (2019). Effective breast cancer prediction using ensemble machine learning model. In: International Conference on Recent Trends on Electronics, Information, Communication & Technology.

Ebru Aydindag & Bayrak, Pinar Kirchi. (2019). Comparison of machine learning methods for breast cancer diagnosis. Book ISBN: 978-1 7281-1013.

Siva Kumar. (2019) A comparative study of breast cancer prediction using machine learning and feature selection. In: Conference on Intelligent Computing and Control System, Amrita Vishwa Vidyapeetham, Amritapuri, India.

Amarna, Ikram & Gagauz Meriam. (2018). Breast cancer classification using machine learning LRDSI laboratory. University of Blida 1, Blida, Algeria 1.

Tanishk Thomas & Nitesh, Pradhan. (2020). Comparative analysis to predict breast cancer using machine learning algorithm. In: Conference on Inventive Computational Technology, Manipal University Jaipur.

Gupta, P. & P. S. (2018). Analysis of machine learning techniques for breast cancer prediction. International Journal of Engineering and Computer Science, 7(05), 23891-5.

S. Mythili & A. V. S. Kumar. (2015). CTCHABC- hybrid online sequential fuzzy extreme kernel learning method for detection of breast cancer with hierarchical artificial bee. In: IEEE International Advance Computing Conference (IACC), Bangalore, pp. 343-348.

Published
2021-02-27
How to Cite
Mrs N. Vanitha, R. Srimathi, & J Haritha. (2021). Analysis of Machine Learning Techniques for Breast Cancer Prediction: . International Journal of Engineering and Management Research, 11(1), 79-83. https://doi.org/10.31033/ijemr.11.1.12