An Intelligent System for Early Assessment and Classification of Brain Tumor

Data mining is a best technique in many fields and it has wide application in healthcare industry such as identifying healthcare patterns from large medical datasets, decision making, and providing early stage treatment to the patients. We can use data mining techniques to detect disease like brain tumor. Brain tumor is the abnormal growth of brain cell and it is one of the dangerous causes of death among people. Early stage tumor diagnosis is possible by a brain tumor detection system. This paper proposes an intelligent system for the diagnosis and classification of brain tumor disease that a user is suffering from along with disease description and healthy advice. The system works on a medical image dataset using data mining techniques. The proposed system comprises of four phases like pre-processing, segmentation, feature extraction and classification. The system identifies the type of tumor by Support Vector Machine. Here we can use genetic algorithm for optimizing the features and SVM parameter. Overall system works with brain MRI image and the usage of data mining techniques in tumor detection system will provide high detection rate.