Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort
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DOI: 10.1016/j.pnpbp.2018.12.005
Abstract: Background: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia. Objectives: To determine the predictors of psychotic relapse and follow‐up withdrawal in a non‐selected national sample of stabilized community‐dwelling… read more here.
Keywords: symptomatology; machine learning; relapse; psychotic relapse ... See more keywords