AIMC Topic: Stress Disorders, Post-Traumatic

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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis.

BMC medical informatics and decision making Jan 21, 2025
This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-traumatic stress disorder (PTSD) predictive models. We conducted a systematic review and random-effect meta-analysis summarizing predictive model developm...
Humans Machine Learning Algorithms Stress Disorders, Post-Traumatic
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CALLM: Enhancing Clinical Interview Analysis Through Data Augmentation With Large Language Models.

IEEE journal of biomedical and health informatics Dec 5, 2024
The global prevalence of mental health disorders is increasing, leading to a significant economic burden estimated in trillions of dollars. In automated mental health diagnosis, the scarcity and imbalance of clinical data pose considerable challenges...
Algorithms Mental Disorders Electronic Health Records Stress Disorders, Post-Traumatic Humans Natural Language Processing Machine Learning Large Language Models
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Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Journal of psychiatric research Dec 4, 2024
Previous models of depression outcomes have been limited by symptom heterogeneity within populations. This study conducted a retrospective analysis using latent growth mixture models to identify heterogeneous trajectories within a clinical population...
Retrospective Studies Female Reproducibility of Results Humans Machine Learning Adult Male Middle Aged Aged Aged, 80 and over Young Adult Patient Health Questionnaire Treatment Outcome Mental Health Services Area Under Curve Outcome Assessment, Health Care Veterans Outpatients Stress Disorders, Post-Traumatic ROC Curve United States Depression Latent Class Analysis Adolescent
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Unreal that feels real: artificial intelligence-enhanced augmented reality for treating social and occupational dysfunction in post-traumatic stress disorder and anxiety disorders.

European journal of psychotraumatology Nov 7, 2024
Fear- and trauma-related conditions, such as post-traumatic stress disorder (PTSD) and social phobia, often manifest as socially avoidant behaviours, which commonly contribute to social and occupational disability transdiagnostically. While gold-sta...
Stress Disorders, Post-Traumatic Humans Augmented Reality Artificial Intelligence Implosive Therapy Anxiety Disorders
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Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Computer methods and programs in biomedicine Sep 26, 2024
BACKGROUND AND OBJECTIVES: Post-traumatic stress disorder is a debilitating psychological condition that can manifest following exposure to traumatic events. It affects individuals from diverse backgrounds and is associated with various symptoms, inc...
Uncertainty Algorithms Deep Learning Stress Disorders, Post-Traumatic Video Recording Facial Expression Stochastic Processes Humans
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Examining worry and secondary stressors on grief severity using machine learning.

Anxiety, stress, and coping Aug 21, 2024
BACKGROUND & OBJECTIVES: Worry and loss-related secondary stressors appear to be important correlates of problematic grief responses. However, the relative importance of these variables in the context of established correlates of grief responding, ra...
Machine Learning Female Aged Young Adult Adult Male Humans Stress Disorders, Post-Traumatic Grief Middle Aged Surveys and Questionnaires Anxiety Adolescent Severity of Illness Index Stress, Psychological
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Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.

Scientific reports Aug 14, 2024
The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the world, but its impact on people's mental health has not been paid due attention by the research community. According to anecdotal data, the pandemic ...
Bayes Theorem Survivors Stress Disorders, Post-Traumatic Support Vector Machine Social Media Humans SARS-CoV-2 Mental Health Machine Learning COVID-19
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Speech-based recognition and estimating severity of PTSD using machine learning.

Journal of affective disorders Jul 14, 2024
BACKGROUND: Traditional methodologies for diagnosing post-traumatic stress disorder (PTSD) primarily rely on interviews, incurring considerable costs and lacking objective indices. Integrating biomarkers and machine learning techniques into this diag...
Stress Disorders, Post-Traumatic Speech Recognition Software Middle Aged Severity of Illness Index Case-Control Studies Female Adult Male Humans Machine Learning
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Deep learning based diagnosis of PTSD using 3D-CNN and resting-state fMRI data.

Psychiatry research. Neuroimaging Jun 17, 2024
BACKGROUND: The incidence rate of Posttraumatic stress disorder (PTSD) is currently increasing due to wars, terrorism, and pandemic disease situations. Therefore, accurate detection of PTSD is crucial for the treatment of the patients, for this purpo...
Humans Stress Disorders, Post-Traumatic Brain Young Adult Magnetic Resonance Imaging Adult Male Deep Learning
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Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review.

Biological psychiatry Jun 10, 2024
Research in machine learning (ML) algorithms using natural behavior (i.e., text, audio, and video data) suggests that these techniques could contribute to personalization in psychology and psychiatry. However, a systematic review of the current state...
Machine Learning Algorithms Anxiety Humans Stress Disorders, Post-Traumatic
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