A Review on Data Mining Techniques for Prediction of Breast Cancer Recurrence

Abstract

The most common type of cancer in women worldwide is the Breast Cancer. Breast cancer may be detected early using Mammograms, probably before it's spread. Recurrent breast cancer could occur months or years after initial treatment. The cancer could return within the same place because the original cancer (local recurrence), or it may spread to different areas of your body (distant recurrence). Early stage treatment is done not only to cure breast cancer however additionally facilitate in preventing its repetition/recurrence. Data mining algorithms provide assistance in predicting the early-stage breast cancer that continually has been difficult analysis drawback. The projected analysis can establish the most effective algorithm that predicts the recurrence of the breast cancer and improve the accuracy the algorithms. Large information like Clump, Classification, Association Rules, Prediction and Neural Networks, Decision Trees can be analyzed using data mining applications and techniques.

Diagnosing Breast Cancer Accurately Based on Weighting of Heterogeneous Classification Sub-Models

“…The authors propose that the optimal model can be achieved by designing several different types of models by using different techniques and algorithms. In their report, PadmaPriya et al [27] explored that breast cancer recurrence has for many years been the most demanding of researchers. The precise cause of breast cancer is uncertain, but early detection may be a better way of avoiding and identifying breast cancer.…”

A Comparative Analysis and Predicting for Breast Cancer Detection Based on Data Mining Models

“…The applications and methods of DM are demonstrated in the areas of healthcare administrations, patient care, management, and intensive care systems. Breast Cancer (BC) is the most common of all cancers, and it is the leading cause of cancer deaths in women around the world, according to one of the latest DM studies [11], [12]. BC is one of the diseases with the highest number of cases and deaths worldwide [13], [14], [15].…”