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Predicting Breast Cancer Recurrence using Data Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 122 - Number 23 |
| Year of Publication: 2015 |
| Authors: Siddhant Kulkarni, Mangesh Bhagwat |
10.5120/21866-5196
|
Siddhant Kulkarni, Mangesh Bhagwat . Predicting Breast Cancer Recurrence using Data Mining Techniques. International Journal of Computer Applications. 122, 23 ( July 2015), 26-31. DOI=10.5120/21866-5196
Abstract
Breast Cancer is among the leading causes of cancer death in women. In recent times, the occurrence of breast cancer has increased significantly and a lot of organizations are taking up the cause of spreading awareness about breast cancer. With early detection and treatment it is possible that this type of cancer will go into remission. In such a case, the worse fear of a cancer patient is the recurrence of the cancer. This paper evaluates various data mining techniques and their ability to predict whether any particular patient will face a recurrence. Experimental results will show the accuracy of various classifiers when applied on the Breast Cancer Dataset[1].
References
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