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@article{154733,
        author = {Hardi Patel and Dr Mehul P. Barot},
        title = {Predict of Breast Cancer Using Machine Learning Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {419-427},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154733},
        abstract = {Breast Cancer is the second cause of death among women. Early prediction of breast cancer will help with the survival of breast cancer patient. Machine Learning and Data Mining have been widely used in the prediction of breast cancer and on the early detection of breast cancer. This paper compares the machine learning techniques which are used for the prediction of breast cancer and deriving results which is the best algorithm to predict breast cancer. In this paper the machine learning algorithms are compared to achieve most accurate prediction result, we are using Logistic Regression, Decision Tree, Random Forest, Naïve Bayes, Support Vector Machine (SVM) and K-nearest Neighbor (KNN).},
        keywords = {Machine Learning, Random Forest, Breast Cancer, Benign, Malignant, Tumor.},
        month = {},
        }