Description

Cancer causes when cells in the body change and grow out of control. Human body is made up of tiny building blocks called cells. Cancer of the oral cavity is the eighth most common cancer among men Oral cancer analysis and its prediction tends to be a crucial area of research when concerning the safety of human life. Various Machine Learning (ML) techniques are adopted for analysing and predicting the cancer data. The accuracy attained by predicted result is stated within average % by various researches. But by utilizing ML techniques, accuracy of maximum % can be obtained on UCI (Unique Client Identifier) medical oral cancer based dataset. The components included in the proposed model are Data collection, Pre-processing, Feature selection via CNN, Classification and Identification. The techniques of Deep Learning (DL) aids in extracting significant patterns and relations from such data. Moreover, the ML and DL are effective techniques to detect and predict oral cancer at an early stage.