A Model for Prediction of Human Depression Using Apriori Algorithm

Depression a latest epidemic of modern era has always drawn the attention of researcher´s to find & evaluate the level, causes & prevention. According to psychiatrists it´s not a psychological disorder but it creates the stimulation & simulation of co-ordination failure. The worst case of the leading depression level may contemplates a person to attempt suicide, loss of energy, insomnia etc. This epidemic causes severe personal and public health challenges. Each year thousands of millions of people are suffering from depression and a few receives adequate treatment. Keeping view at the trend of predicting, this paper has been proposed & tried to find out the persons affected by depression and their level of illness. The work is self motivated. Here the concept of apriori algorithm & association rule mining is used in order to extract the information from a large collection of database of concerned persons.