Analysis and Identification of Cancerous Factors using Rule Based Classifier of Data Mining Techniques
Data mining techniques have been generally utilized as a part of medical decision support systems for forecast and finding of different diseases with great accuracy. Prediction of cancer at an early stage is a crucial task. In study conducted by researchers was proven that patient affected by cancer consumes food which contains cancer causing substances. It includes processed meat, processed sugar, pastry, poor diet, poor intake of fish and vegetables, and so on can also stimulate the appearance of this dangerous disease like cancer. The proposed study centered on the application of data mining techniques using rule based algorithm for predicting cancer at an early stage. The aim of the thesis paper is to give an alert to the user which will save the time and cost of the treatment.
Keywords - Cancer, Data Mining, Rule-based algorithm, Decision Tree