Automated Prediction of RCT (Root Canal Treatment) Using Data Mining Techniques: ICT in Health Care

With the use of various data mining techniques to be implemented on rapid minor tool, diseases can be detected .This paper makes use of classification technique based on cross validation and decision tree to detect RCT before seeking advice from the doctor. The main aim of this paper is to diagnose whether there is a need of RCT or not with different input values of an attributes. All these symptoms or attributes are analyzed to reach a decision that person with an age greater than 18 and having sensitivity problem have greater chances of root canal treatment. These techniques make the doctors and patients to take an early decision.