Abstract: Oral cancer is the most common type of cancer. It was an irrecoverable disease but now the progress in technology has made it curable if it is diagnosed in early stages. Oral cancer is increase in the number of cells which has the capability to affect its neighbor cells or tissues. It happens when cells divide out of control and form a growth, or tumor. In spite of having various advancements in fields like radiation therapy and chemotherapy the mortality rate is persistent. Therefore, early detection of cancer is important. In this paper we are using Machine Learning as domain for detection of oral cancer considering the datasets of a victim. Then it is classified using apriori algorithm. We are developing a health sector application which also uses Data Mining and data extraction for prediction techniques, classification rules for oral cancer prediction and uses association rules to perceive the relationship between the oral cancer attributes.

Keywords: Oral cancer detection, machine learning, web-crawler,data mining technique, association rule mining, apriori algorithm.

PDF | DOI: 10.17148/IJARCCE.2020.9335

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