Cancer Detection and Analysis Using Machine Learning

Among the various types of Diseases, Cancer is considered as one of the deadly diseases in the world. Lung, Prostate, and Breast Cancer are some of the Cancer types that are contributing most to the Mortality Rate. In order to overcome, our proposed research work includes Data Collection which is further analyzed and modelled using Machine Learning Techniques. Moreover, the Machine Learning models were evaluated as well as compared based on Performance Metrics parameters like Accuracy, Precision, Recall, F1Score. The best fit Algorithm obtained with the highest Accuracy is Simple Linear Regression for the prediction of Lung Cancer, Logistic Regression for the prediction of Prostate Cancer and Breast Cancer. This has been integrated with python script through the Python Flask Framework. This allows us to fetch the user inputs/responses by the help of Forms and according to the values entered by the users, the interface will predict whether the person is suffering from Benign (Noncancerous) or Malignant (Cancerous). Hence, this study would help in the early detection of Cancer in humans which would give a warning and make them alert regarding the treatment of diagnosed Cancer. It will also help in reducing the Mortality Rate of Cancer patients along with the saving of their funds.