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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Comparison Of Datamining Techniques For Prediction Of Breast Cancer

[Full Text]

 

AUTHOR(S)

Deneshkumar V, Manoprabha M, Senthamarai Kannan K

 

KEYWORDS

Breast cancer, Data mining, Prediction, Feature Selection, Gini Index, Information Gain and ROC Curve.

 

ABSTRACT

Breast cancer is one of the most challenging deadly diseases. Correct and in-time prediction of such disease is very important. Wisconsin breast cancer dataset with 569 patients and 32 features were included in this study. The Information Gain and Gini Index were used to determine the effectiveness of features on breast cancer. The performance comparisons of the most commonly used statistical methods were also studied to find the best predictive model. The main objective of this manuscript is to make use of the advanced technologies to develop a best predictive model for breast cancer. All performance assessments were carried out using Rapid Miner Studio software.

 

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