AIMC Topic: Psychiatric Status Rating Scales
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Evaluating the Chinese versions of delirium assessment scales: a diagnostic systematic review.
BMC psychiatry
Apr 28, 2025
BACKGROUND: The purpose of this study is to examine the validity, reliability and methodological quality of delirium scales that have been translated and adapted in China using quality assessment tools.
Evaluating the agreement between ChatGPT-4 and validated questionnaires in screening for anxiety and depression in college students: a cross-sectional study.
BMC psychiatry
Apr 10, 2025
BACKGROUND: The Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence-based web application, has demonstrated substantial potential across various knowledge domains, particularly in medicine. This cross-sectional study assesse...
Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection.
BMC psychiatry
Mar 26, 2025
OBJECTIVE: To develop a stratified screening tool through machine learning approaches for the Center for Epidemiologic Studies Depression Scale (CES-D-20) while maintaining diagnostic accuracy, addressing the efficiency limitations in large-scale app...
Enhancing prediction of major depressive disorder onset in adolescents: A machine learning approach.
Journal of psychiatric research
Jan 9, 2025
Major Depressive Disorder (MDD) is a prevalent mental health condition that often begins in adolescence, with significant long-term implications. Indicated prevention programs targeting adolescents with mild symptoms have shown efficacy, yet the meth...
Development of a short form of the Geriatric Depression Scale-30 based on item response theory and the RiskSLIM algorithm.
General hospital psychiatry
Dec 25, 2024
Recently, methods of quickly and accurately screening for geriatric depression have attracted substantial attention. Short forms of the 30-item Geriatric Depression Scale have been developed based on classical test theory, such as the GDS-4, GDS-5, a...
The voice of depression: speech features as biomarkers for major depressive disorder.
BMC psychiatry
Nov 12, 2024
BACKGROUND: Psychiatry faces a challenge due to the lack of objective biomarkers, as current assessments are based on subjective evaluations. Automated speech analysis shows promise in detecting symptom severity in depressed patients. This project ai...
Predicting remission after acute phase pharmacotherapy in patients with bipolar I depression: A machine learning approach with cross-trial and cross-drug replication.
Bipolar disorders
Oct 3, 2024
OBJECTIVES: Interpatient variability in bipolar I depression (BP-D) symptoms challenges the ability to predict pharmacotherapeutic outcomes. A machine learning workflow was developed to predict remission after 8 weeks of pharmacotherapy (total score ...
The simplification of the symptom Checklist-90 scale utilizing machine learning techniques.
Journal of affective disorders
Aug 28, 2024
The Symptom Checklist-90 (SCL-90), widely utilized for psychological assessments, faces challenges due to its extensive nature. Streamlining the SCL-90 is essential in order to enhance its practicality without compromising its broad applicability acr...
Natural language processing in at-risk mental states: enhancing the assessment of thought disorders and psychotic traits with semantic dynamics and graph theory.
Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)
Jul 29, 2024
OBJECTIVE: Verbal communication contains key information for mental health assessment. Researchers have linked psychopathology phenomena to certain counterparts in natural language processing. We characterized subtle impairments in the early stages o...
An automated approach for predicting HAMD-17 scores via divergent selective focused multi-heads self-attention network.
Brain research bulletin
May 26, 2024
This study introduces the Divergent Selective Focused Multi-heads Self-Attention Network (DSFMANet), an innovative deep learning model devised to automatically predict Hamilton Depression Rating Scale-17 (HAMD-17) scores in patients with depression. ...
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