Association rule mining based predicting breast cancer recurrence on SEER breast cancer data

Breast cancer is the most well-known type of cancer in women in the developed nations including India. Breast cancer could recur anytime in the breast cancer survivors, however basically it returns in the initial three to five years after the treatment. In this paper we investigate the feasibility of utilizing an association rule mining for a clinical oncology doctor in expectation of breast cancer recurrence on SEER (Surveillance, Epidemiology, and End Results) dataset.

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