Predicting Effective Factors in Schizophrenia Using Data Mining

Dinesh Mavaluru, Jayabrabu Ramakrishnan, Azath Mubarakali


Data mining is a technique for discovering new knowledge from databases and the use of data mining in medicine is considered one of the most widely used fields of data mining. Schizophrenia is one of the most common illnesses that cause many financial and social damages to society due to the loss of individual performance. In this study, we will examine the most effective fields of predictor in schizophrenia and then predict the age of occurring schizophrenia. In this study, some common classification methods such as support vector machine, decision tree and neural network have been used. The results show that the support vector machine model has more efficiency than other models.

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