Abstract
Cancer prognosis is crucial to control the suffering and death of diabetic patients. Diabetes is a prolonged disease caused by the deficiency in the amount of insulin generated by the pancreas. Type 2 diabetes occurs due to the inability of the cells to respond to the production of insulin that results in increased concentration of glucose in the blood. We have attempted to bring in novelty to predict and classify cancer types such as breast, liver, and colon cancer for Type 2 diabetic patients through this paper. We have analyzed key common parameters like triglycerides, age, menopause age, number of pregnancies, etc. for Type 2 diabetes and cancer patients. We then gathered values for these parameters and used them to train and validate the Random Forest model that we have used for classification. We have been able to predict and classify the type of cancer using our model and achieve an accuracy level of 86%.
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Kannan, A., Vigneshwaran, P., Sindhuja, R., Gopikanjali, D. (2020). Classification of Cancer for Type 2 Diabetes Using Machine Learning Algorithm. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1077. Springer, Singapore. https://doi.org/10.1007/978-981-15-0936-0_12
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DOI: https://doi.org/10.1007/978-981-15-0936-0_12
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