CLASSIFICATION OF HOMEOPATHIC PATIENTS IN RESPECTIVE CLASSES/GROUPS WITH THE APPLICATION OF ROUGH SET THEORY

Abstract

Human beings are associated with different characteristics and are distinct from each other. Classification is done based on these characters which forms the important step in remedial diagnosis of homoepathy medicines.Technology has made tremendous advancements in the process of disesase diagnosis. Remedial diagnosis is a tedious task, it can be made easy and accurate by applying Reduct – an important concept of Rough Set Theory. With reduct, useful patterns residing in data can be discovered and decision rules can be generated. Rough Set Exploration System is a tool used for the reduct and rule generation. Data preprocessing is carried out by WEKA. This paper presents concept of Rough Set Theory and identifies valuable attributes for the correct classification of patient. The reduct is validated by expert Homoepaths.A model is generated and accuracy of the model is tested with help of confusion matrix.