AIMC Topic: Delusions
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Can generative artificial intelligence facilitate illustration of- and communication regarding hallucinations and delusions?
Acta psychiatrica Scandinavica
Mar 15, 2024
Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach.
Journal of affective disorders
Nov 6, 2018
BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder characterized by periodic episodes of manic and depressive symptomatology. Predominant polarity (PP) appears to be an important specifier of BD. The present study employed machine lea...
Hallucinations
Delusions
Demography
Feeding and Eating Disorders
Tobacco Use Disorder
Adult
Cross-Sectional Studies
Male
Middle Aged
Female
Humans
Hospitalization
Machine Learning
Algorithms
Age Factors
Substance-Related Disorders
Cohort Studies
Area Under Curve
ROC Curve
Bipolar Disorder
Alcoholism
A symptom network structure of the psychosis spectrum.
Schizophrenia research
Feb 22, 2017
Current diagnostic systems mainly focus on symptoms needed to classify patients with a specific mental disorder and do not take into account the variation in co-occurring symptoms and the interaction between the symptoms themselves. The innovative ne...
Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach.
International psychogeriatrics
Mar 1, 2020
OBJECTIVES: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.
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