Machine Learning Helps to Predict the Treatment Outcomes of Schizophrenia

Machine Learning Helps to Predict the Treatment Outcomes of Schizophrenia

Could the diagnosis and treatment of mental health disorders one day be aided through the help of machine learning? New research from the University of Alberta is bringing us closer to that future through a study published in Molecular Psychiatry. The research was led by Bo Cao at the U of A's Department of Psychiatry, with the collaboration of Xiang Yang Zhang at the University of Texas Health Science Center at Houston. They used a machine-learning algorithm to examine functional magnetic resonance imaging (MRI) images of both newly diagnosed, previously untreated schizophrenia patients and healthy subjects. By measuring the connections...

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