Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach.

Journal: JAMA psychiatry

PMID: 39382875

Abstract

IMPORTANCE: Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a greater exposure to general risk factors for poor cognition.

Authors

Robert A McCutcheon

Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Richard S E Keefe

Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina.
Philip M McGuire

Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Andre Marquand

Keywords

Adult Bipolar Disorder Cognitive Dysfunction Cross-Sectional Studies Female Humans Machine Learning Male Middle Aged Psychotic Disorders Risk Factors Schizophrenia

External Resources

View on PubMed Access via DOI PubMed (39382875)

Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach.

Abstract

Authors

Keywords

External Resources

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