AIMC Topic: Psychotic Disorders
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Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.
JAMA psychiatry
Sep 1, 2018
IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these trajectories are associated with future psychosis is unclear.
A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.
Studies in health technology and informatics
Jan 1, 2018
Lately, several studies started to investigate the existence of links between cannabis use and psychotic disorders. This work proposes a refined Machine Learning framework for understanding the links between cannabis use and 1st episode psychosis. Th...
A clinical perspective on the relevance of research domain criteria in electronic health records.
The American journal of psychiatry
Apr 1, 2015
OBJECTIVE: The limitations of the DSM nosology for capturing dimensionality and overlap in psychiatric syndromes, and its poor correspondence to underlying neurobiology, have been well established. The Research Domain Criteria (RDoC), a proposed dime...
Humans
Mental Disorders
Electronic Health Records
Female
Reproducibility of Results
Risk Factors
Hospitalization
Adult
Male
Middle Aged
Depressive Disorder, Major
Length of Stay
Cohort Studies
Natural Language Processing
Schizophrenia
Psychotic Disorders
Patient Readmission
Information Storage and Retrieval
Models, Psychological
Schizophrenic Psychology
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