Application of Data Mining Techniques in Early Detection of Breast Cancer

F.Leenavinmalar; Dr.A.Kumarkombaiya

doi:https://doi.org/10.14445/22315381/IJETT-V56P208

Research Article | Open Access | Download PDF

Volume 56 | Number 1 | Year 2018 | Article Id. IJETT-V56P208 | DOI : https://doi.org/10.14445/22315381/IJETT-V56P208

Application of Data Mining Techniques in Early Detection of Breast Cancer

F.Leenavinmalar,Dr.A.Kumarkombaiya

Citation :

F.Leenavinmalar,Dr.A.Kumarkombaiya, "Application of Data Mining Techniques in Early Detection of Breast Cancer," International Journal of Engineering Trends and Technology (IJETT), vol. 56, no. 1, pp. 43-45, 2018. Crossref, https://doi.org/10.14445/22315381/IJETT-V56P208

Abstract

Cancer is a class of diseases characterized by out-of-control cell growth. There are over 100 different types of cancer, and each is classified by the type of cell that is initially affected[1]. Breast cancer is the most common invasive cancer in women, and the second main cause of cancer death in women, after lung cancer, early detection of cancer helps the patients to prevent from vulnerability and get cured. Data mining and machine learning technique are used widely in medical sciences in identifying, diagnosing, diseases. In this paper we are proposing possible data mining techniques in early detection of breast cancer, Wisconsin breast cancer data set is used for experiments, and are evaluated using sensitivity, specificity andclassification accuracy.

Keywords

Breast cancer survivability, data mining, Wisconsin breast cancer data set, SVM, C5.0, cancer prediction techniques.

References

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