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Breast Cancer Relapse Prognosis using Machine Learning Approaches


Rashmi R V , SAPTHAGIRI COLLEGE OF ENGINEERING; Dr. Kamalakshi Naganna, Sapthagiri College of Engineering; Pooja A, Sapthagiri College of Engineering; Sushma D, Sapthagiri College of Engineering; Rachana R, Sapthagiri College of Engineering


Breast Cancer, Classifiers, Recurrence, Relapse, Logistic, Deep Neural Network, SVM, K-Means


Cancers diseases are massive trouble in the community. Breast cancer is dominant reason for death amidst women. It presents the study of various machine learning approaches to predict breast cancer recurrence. The prime intention is to focus on advantages and disadvantages of classification techniques. It compares the results achieved by each machine learning algorithms and predicts recurrence of breast cancer.

Other Details

Paper ID: IJSRDV7I30635
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 647-652

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