Cancer Prediction and Insurance Eligibility using Machine Learning Techniques

Cancer—in today's world—is undeniably a peril to manhood's wellbeing. It is one of the most observed disease globally that causes immense health degradation. Cancer can be cured completely if detected at an initial stage. This research work develops a system to detect three different types of cancers, i.e., bladder, breast, and cervical, by using machine learning algorithms like logistic regression,
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-NN, and decision tree with an accuracy of 83.33%, 82.12%, and 90.00%, respectively. The developed system not only attains maximum accuracy but also provides information on whether a person is eligible for insurance. Also, the developed system entails a few parameters to determine whether a person suffers from cancer.