UCLA

This paper aims to apply machine learning methods to analyze the biomarkers of symptoms in patients with schizophrenia. By reducing the dimension of brain patterns via random forest models and mapping brain patterns to symptoms of schizophrenia using multivariate regression models, we will explore the relationship between brain patterns and symptoms of schizophrenia and the association between different types of antipsychotic medication and brain patterns and symptoms.