This paper proposes a machine learning approach to detect oral cancer at early stages. The researchers developed a health application that uses data mining techniques like association rule mining and the Apriori algorithm to analyze datasets of patient attributes and symptoms. The application aims to predict whether a patient has oral cancer based on their input data and classify cases using rules generated by Apriori. It seeks to automate oral cancer prediction and discover relationships between cancer attributes to help clinical decision making.