ANALYSIS OF DATA MINING ALGORITHM FOR ORAL CANCER USING CLASSIFICATION TECHNIQUES IN R PROGRAMMING

Abstract

Data mining techniques are used for variety of medical applications.Oral cancer is the most common malignancy worldwide. The aims of this research were to report the prevalence as well as clinic pathologic features of the oral cancer patients from different parts of Asia and Canada and to compare them with patients from other parts of the world. Early detection and prevention of cancer plays a vital role in reducing death of the patients. Three algorithms are used in classification technique for oral cancer such as Naïve Bayes, KNN (k-nearest neighbor’s) and SVM for analyzing the best algorithm. Here the cancer risk prediction is proposed which is easy and time saving