The Application of Data Mining to Predict the Relapse of the First-episode Schizophrenic Patients
Abstract：Objective:To explore decision tree (DT) and Artificial Neural Networks (ANN) models to predict the relapse of the First-episode Schizophrenic Patients,and to provide a reference for the prevention and treatment of schizophrenia.Method:Conducted a two-year follow-up survey of the first episode schizophrenic patients in our hospital from 2009 to 2011,and developed C5.0 DT and BP ANN two predictive models.Result:The C5.0 DT model achieved a classification accuracy of 76.66%,and BP ANN model achieved a classification accuracy of 82.73%. The BP ANN model performed better than C5.0 DT model. Conclusion:Using DT and ANN models to prediction the relapse of first episode schizophrenic patients is feasible.
Keywords：Data miningPredictionSchizophrenia
Publication Date：2013-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：2( 34-35 )