AI Medical Compendium Journal:
International journal of methods in psychiatric research

Showing 1 to 7 of 7 articles

Assessing the predictive ability of the Suicide Crisis Inventory for near-term suicidal behavior using machine learning approaches.

International journal of methods in psychiatric research Nov 9, 2020
OBJECTIVE: This study explores the prediction of near-term suicidal behavior using machine learning (ML) analyses of the Suicide Crisis Inventory (SCI), which measures the Suicide Crisis Syndrome, a presuicidal mental state.
Suicidal Ideation ROC Curve Humans Machine Learning Area Under Curve Logistic Models
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Diagnosing schizophrenia with network analysis and a machine learning method.

International journal of methods in psychiatric research Feb 5, 2020
OBJECTIVE: Schizophrenia is a chronic and debilitating neuropsychiatric disorder. It has been suggested that impaired brain connectivity underlies the pathophysiology of schizophrenia. Network analysis has thus recently emerged in the field of schizo...
Schizophrenia Diffusion Tensor Imaging Support Vector Machine Models, Statistical Humans Machine Learning Brain Female Adult Male
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Automatic mining of symptom severity from psychiatric evaluation notes.

International journal of methods in psychiatric research Dec 22, 2017
OBJECTIVES: As electronic mental health records become more widely available, several approaches have been suggested to automatically extract information from free-text narrative aiming to support epidemiological research and clinical decision-making...
Data Mining Mental Disorders Electronic Health Records Adult Severity of Illness Index Neural Networks, Computer Machine Learning Humans
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Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach.

International journal of methods in psychiatric research Jul 28, 2017
BACKGROUND: There are no consistent predictors of treatment outcome in paediatric obsessive-compulsive disorder (OCD). One reason for this might be the use of suboptimal statistical methodology. Machine learning is an approach to efficiently analyse ...
Humans Machine Learning Adolescent Child Female Male Internet Outcome Assessment, Health Care Telemedicine Cognitive Behavioral Therapy Obsessive-Compulsive Disorder
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Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.

International journal of methods in psychiatric research May 21, 2015
The study objective was to apply machine learning methodologies to identify predictors of remission in a longitudinal sample of 296 adults with a primary diagnosis of obsessive compulsive disorder (OCD). Random Forests is an ensemble machine learning...
Recurrence Obsessive-Compulsive Disorder Longitudinal Studies Predictive Value of Tests Psychometrics Machine Learning Retrospective Studies Humans Male Psychiatric Status Rating Scales Female Adult
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Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial With Causal Forests.

International journal of methods in psychiatric research Jun 1, 2025
BACKGROUND: Flexible machine learning tools are increasingly used to estimate heterogeneous treatment effects.
Algorithms Psychiatry Humans Machine Learning Military Personnel Treatment Effect Heterogeneity Data Interpretation, Statistical Outcome Assessment, Health Care
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From statistics to deep learning: Using large language models in psychiatric research.

International journal of methods in psychiatric research Mar 1, 2025
BACKGROUND: Large Language Models (LLMs) hold promise in enhancing psychiatric research efficiency. However, concerns related to bias, computational demands, data privacy, and the reliability of LLM-generated content pose challenges. GAP: Existing st...
Psychiatry Biomedical Research Deep Learning Models, Statistical Humans
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