A Novel Feature Selection Method to Predict Oral Cancer Using Apriori algorithm

Abstract

At the moment, scores of people are being gone through oral cancer and it can cause to demise. In order to avoid this demise an application is made to proposed that offers with the forecasting which predicts via utilizing the condition that is depending on to oral details. Cancer is the word that is broadly considered for above 100 separate diseases, some of them are tumors on malignant that belong to dissimilar sites like abdomen, malignancy of fillet etc. This disease when compared with other ones get similar when any of the structures get failed, which then adjusts the normal enlargement of the cell as well as the explosion plus the death of the cell. At the end, this tumor results in increasing way as of the stage of mild to the higher deformity, which effects to the tissues those are neighboring then finally it gets stretched to all of the other parts of the body. This disease is occurred by higher using-up of the tobacco, burning cigars and many more, which heighers the risk level and widens it in impending days. An add-on to this is the in-taking of the alcohol practice which increases this problem strongly. This approach can be reached to an satisfactory level regards to oral cancer potentiality by employing some of the Data Mining perceptions like categorization, gathering plus the forecasting as well, using which a data knowledge of the suffered patients is taken into account for cross checking their data to the currently enrolled patient health status and give with the apt solution and judgments about their actual condition.