A THERORETICAL SURVEY ON BREAST CANCER PREDICTION USING DATA MINING TECHNIQUES

Authors

  • Disha Patel Computer Department, BVM Engineering College, V.V.Nagar, Gujarat, India
  • Mr Bhavesh Tanawala Computer Department, BVM Engineering College, V.V.Nagar, Gujarat, India
  • Mr Pranay Patel Computer Department, BVM Engineering College, V.V.Nagar, Gujarat, India

Keywords:

Data Mining techniques: Classification and Clustering techniques, Breast Cancer: Diagnosis; prognosis

Abstract

Breast cancer has reason for the leading cause of death in lady in various countries .The popular effective
way to decrease breast cancer deaths is detect it as earlier as possible. An early diagnosis method requires a more
accurate and user reliable diagnosis techniques those are allow physicians to distinguish benign breast tumors from
malignant ones without going for surgical biopsy. Actually, Cancer research is a clinical and biological research area.
Predicting the results of a disease is one of the best interesting and challenging problems where to develop data mining
applications. The main goal of this study is to summarize various review and technical articles on predicting breast
cancer.

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Published

2018-02-25

How to Cite

Disha Patel, Mr Bhavesh Tanawala, & Mr Pranay Patel. (2018). A THERORETICAL SURVEY ON BREAST CANCER PREDICTION USING DATA MINING TECHNIQUES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 412–416. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2351

Issue

Vol. 5 No. 2 (2018): Volume 5 Issue 2 February 2018

Section

Articles