Machine-learning Helped Identify Newly Diagnosed Schizophrenia Patients and Predicted Treatment Response
Using machine-learning techniques to analyze functional imaging data, a team of Foundation-supported researchers reports that it was able to identify the presence of schizophrenia in 78 percent of a group of newly diagnosed patients. The team could further predict, with 82 percent accuracy, which patients would respond to treatment with the antipsychotic medicine risperidone.