IBM + University of Alberta for New Data on Machine Learning Algorithms to Help Predict Schizophrenia
At the core of stakes, we have AI and machine learning algorithms helping predict instances of schizophrenia with important accuracy. The severity of specific symptoms in schizophrenia patients with significant correlation, based on correlations between activity observed across different regions of the brain.
We also have understanding of the neurobiology of schizophrenia; finding objective neuroimaging-based patterns that are diagnostic and prognostic markers of schizophrenia.
Examining scans from 95 participants, researchers used machine learning techniques to develop a model of schizophrenia that identifies the connections in the brain most associated with the illness.