Online medical healthcare application for cancer disease prediction based on pattern matching and SVM classifier with MVC (PMSMVC) framework

A web service is used to provide the appropriate treatment for a patient suffering from cancer. This paper proposes a web service oriented medical healthcare application for the cancer disease prediction, based on Pattern Matching and SVM Classifier with MVC (PMSMVC) framework. The collected patient’s data are compiled using SQL YOG, a visual query designer and query formatter. A set of questions (pre-condition pattern) related to the cancer disease are designed, using the MY SQL API scheduler, and it is maintained in the database as well as the MVC framework. The designed set of questionnaires is given to the users through the web browser, and their answers are considered as the input pattern. The pattern matching method is used to match the input pattern and the pre-condition pattern. The SVM will classify whether the pattern has cancer or not. The performance of the proposed method is validated both quantitatively and qualitatively using performance metrics, such as sensitivity, accuracy and specificity.