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%.
