AIMC Topic: Stress Disorders, Post-Traumatic

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Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records.

BMC medical informatics and decision making Jun 4, 2024
BACKGROUND: Extracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial for positive mental health improvements and policy enhancements. The intricacies of collecting, inte...
Humans Electronic Health Records Middle Aged Stress Disorders, Post-Traumatic Natural Language Processing Adult Male Female
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Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning.

Scientific reports May 30, 2024
Post-traumatic stress disorder (PTSD) lacks clear biomarkers in clinical practice. Language as a potential diagnostic biomarker for PTSD is investigated in this study. We analyze an original cohort of 148 individuals exposed to the November 13, 2015,...
Language Female Adult Machine Learning Biomarkers Deep Learning Stress Disorders, Post-Traumatic Natural Language Processing Male Middle Aged Humans
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Using machine learning to increase access to and engagement with trauma-focused interventions for posttraumatic stress disorder.

The British journal of clinical psychology May 7, 2024
BACKGROUND: Post-traumatic stress disorder (PTSD) poses a global public health challenge. Evidence-based psychotherapies (EBPs) for PTSD reduce symptoms and improve functioning (Forbes et al., Guilford Press, 2020, 3). However, a number of barriers t...
Psychotherapy Humans Stress Disorders, Post-Traumatic Machine Learning Health Services Accessibility
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Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning.

Journal of anxiety disorders May 5, 2024
There are significant challenges to identifying which individuals require intervention following exposure to trauma, and a need for strategies to identify and provide individuals at risk for developing PTSD with timely interventions. The present stud...
Middle Aged Female Stress Disorders, Post-Traumatic Adult Humans Longitudinal Studies Machine Learning Male
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Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models.

Drug and alcohol dependence Jan 9, 2024
BACKGROUND: Identifying co-occurring mental disorders and elevated risk is vital for optimization of healthcare processes. In this study, we will use DeepBiomarker2, an updated version of our deep learning model to predict the adverse events among pa...
Comorbidity Deep Learning Alcoholism Stress Disorders, Post-Traumatic Humans Electronic Health Records
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Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles.

Psychological trauma : theory, research, practice and policy Nov 27, 2023
OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating psychiatric illness, experienced by approximately 10% of the population. Heterogeneous presentations that include heightened dissociation, comorbid anxiety and depression, and emotion ...
Stress Disorders, Post-Traumatic Middle Aged Severity of Illness Index Precision Medicine Female Adult Young Adult Machine Learning Humans Male
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Applications of artificial intelligence-machine learning for detection of stress: a critical overview.

Molecular psychiatry Apr 5, 2023
Psychological distress is a major contributor to human physiology and pathophysiology, and it has been linked to several conditions, such as auto-immune diseases, metabolic syndrome, sleep disorders, and suicidal thoughts and inclination. Therefore, ...
Humans Artificial Intelligence Machine Learning Stress, Psychological Stress Disorders, Post-Traumatic Brain
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Using deep learning to classify pediatric posttraumatic stress disorder at the individual level.

BMC psychiatry Oct 28, 2021
BACKGROUND: Children exposed to natural disasters are vulnerable to developing posttraumatic stress disorder (PTSD). Previous studies using resting-state functional neuroimaging have revealed alterations in graph-based brain topological network metri...
Stress Disorders, Post-Traumatic Magnetic Resonance Imaging Connectome Brain Humans Deep Learning Child
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Predicting outcome of daycare cognitive behavioural therapy in a naturalistic sample of patients with PTSD: a machine learning approach.

European journal of psychotraumatology Sep 24, 2021
BACKGROUND: Identifying predictors for treatment outcome in patients with posttraumatic stress disorder (PTSD) is important in order to provide an effective treatment, but robust and replicated treatment outcome predictors are not available up to now...
Stress Disorders, Post-Traumatic Female Patient Discharge Humans Cognition Treatment Outcome Cognitive Behavioral Therapy Machine Learning Adult Male
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Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.

PloS one Jul 29, 2021
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health problem. The emergence and/or worsening of chronic pain are known sequelae of IPV; however, not all those who experience IPV develop chronic pain. To m...
Chronic Pain Female Young Adult Adult Humans Violence Adolescent Proof of Concept Study Machine Learning Survivors Stress Disorders, Post-Traumatic
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