Abstract
Type-2 diabetic patients may easily get suffered from cancer. The presented work in this paper predicts whether the diabetic patient has got cancer problem or not. If cancer is identified in the patient, the type of cancer such as breast cancer, colon cancer and liver cancer is classified. The parameters associated with cancer and diabetes are recognized and collected. Then the collected dataset is preprocessed. During preprocessing the null values in the dataset are replaced with mean values. The dataset is now ready for training. Cancer disease prediction is done by breast cancer, colon cancer and liver cancer. To classify the cancer type, random forest algorithm is used.
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