Abstract
Breast cancer has become a common factor now-a-days. Despite the fact, not all general hospitals have the facilities to diagnose breast cancer through mammograms. Waiting for diagnosing a breast cancer for a long time may increase the possibility of the cancer spreading. Therefore a computerized breast cancer diagnosis has been developed to reduce the time taken to diagnose the breast cancer and reduce the death rate. This paper summarizes the survey on breast cancer diagnosis using various machine learning algorithms and methods, which are used to improve the accuracy of predicting cancer. This survey can also help us to know about number of papers that are implemented to diagnose the breast cancer.
Cite
CITATION STYLE
B.M, G., C.P, S., & T, S. (2013). Breast Cancer Diagnosis Using Machine Learning Algorithms - A Survey. International Journal of Distributed and Parallel Systems, 4(3), 105–112. https://doi.org/10.5121/ijdps.2013.4309
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