CLASSIFICATION OF PSYCHOLOGICAL ILLNESSES USING NAÏVE BAYES

Abstract

Physical and psychological illness are important for people in their daily life. If people face risks, conflicts and difficulties, they suffer from psychological illness problems such as depression, bipolar disorder, schizophrenia, and anxiety. Psychological illness professionals ask the patient concerned with the present conditions (risk and symptoms) and mood or feelings. So, the patients caused with the risks or symptoms are classified (psychological illness Yes or No) according to their cases. There are many techniques of data mining applied for performance of many application areas. This system contributes to classify psychological illness by using one of Data mining techniques, Naïve Bayes and to test performance result with Random Split Test, K-Folds, Test and Unlabeled Test. The system’s performance is evaluated in terms of average accuracy is over 80%.