AIMC Topic: Stress Disorders, Post-Traumatic

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Improvements to PTSD quality metrics with natural language processing.

Journal of evaluation in clinical practice May 24, 2021
RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availability of structured electronic medical record (EMR) data, clinicians are asked to perform documentation using tools that facilitate data capture. These t...
Natural Language Processing Psychotherapy United States Department of Veterans Affairs Humans Electronic Health Records Stress Disorders, Post-Traumatic United States
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Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma.

Scientific reports May 13, 2021
Post-traumatic stress disorder (PTSD) is characterized by complex, heterogeneous symptomology, thus detection outside traditional clinical contexts is difficult. Fortunately, advances in mobile technology, passive sensing, and analytics offer promisi...
Humans Artificial Intelligence Young Adult Child Adult Stress Disorders, Post-Traumatic Geographic Information Systems Longitudinal Studies Psychiatric Status Rating Scales
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Resting-state functional network models for posttraumatic stress disorder.

Journal of neurophysiology Feb 10, 2021
Four recent articles were examined for their use of resting-state functional magnetic resonance imaging on participants with posttraumatic symptoms. Theory-driven computations were complemented by the novel use of network metrics, which revealed redu...
Models, Neurological Neural Networks, Computer Humans Connectome Stress Disorders, Post-Traumatic Magnetic Resonance Imaging
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A machine learning approach to modeling PTSD and difficulties in emotion regulation.

Psychiatry research Jan 5, 2021
Despite evidence for the association between emotion regulation difficulties and posttraumatic stress disorder (PTSD), less is known about the specific emotion regulation abilities that are most relevant to PTSD severity. This study examined both ite...
Stress Disorders, Post-Traumatic Emotions Self Report Humans Machine Learning Models, Psychological Emotional Regulation
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A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: Emotions after surviving cancer can be complicated. The survivors may have gained new strength to continue life, but some of them may begin to deal with complicated feelings and emotional stress due to trauma and fear of cancer recurrence...
Social Media Survivors Cancer Survivors Humans Neoplasms Deep Learning Stress Disorders, Post-Traumatic
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Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms.

Scientific reports Dec 10, 2020
The nature of the recovery process of posttraumatic stress disorder (PTSD) symptoms is multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP), which was developed to detect significant combinational risk factors com...
Walking Rest Risk Stress Disorders, Post-Traumatic Unemployment Predictive Value of Tests Emergency Shelter Risk Factors Aged Adult Male Humans Middle Aged Severity of Illness Index Machine Learning Female
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The opportunities and challenges of machine learning in the acute care setting for precision prevention of posttraumatic stress sequelae.

Experimental neurology Nov 4, 2020
Personalized medicine is among the most exciting innovations in recent clinical research, offering the opportunity for tailored screening and management at the individual level. Biomarker-enriched clinical trials have shown increased efficiency and i...
Biomarkers Stress Disorders, Post-Traumatic Humans Precision Medicine Acute Disease Machine Learning Prognosis
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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study.

Journal of medical Internet research Oct 12, 2020
BACKGROUND: The COVID-19 pandemic is impacting mental health, but it is not clear how people with different types of mental health problems were differentially impacted as the initial wave of cases hit.
Humans Social Media Pandemics Adolescent Pneumonia, Viral Suicidal Ideation Borderline Personality Disorder Natural Language Processing COVID-19 Global Health Stress Disorders, Post-Traumatic Self-Help Groups Coronavirus Infections Middle Aged Betacoronavirus Female Adult Anxiety SARS-CoV-2 Mental Health Young Adult Male
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Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood.

Psychological medicine Aug 3, 2020
BACKGROUND: Visual and auditory signs of patient functioning have long been used for clinical diagnosis, treatment selection, and prognosis. Direct measurement and quantification of these signals can aim to improve the consistency, sensitivity, and s...
Humans Depression Depressive Disorder, Major Stress Disorders, Post-Traumatic Deep Learning Arousal
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Changes in functional connectivity after theta-burst transcranial magnetic stimulation for post-traumatic stress disorder: a machine-learning study.

European archives of psychiatry and clinical neuroscience Jul 27, 2020
Intermittent theta burst stimulation (iTBS) is a novel treatment approach for post-traumatic stress disorder (PTSD), and recent neuroimaging work indicates that functional connectivity profiles may be able to identify those most likely to respond. Ho...
Dorsolateral Prefrontal Cortex Transcranial Magnetic Stimulation Support Vector Machine Theta Rhythm Humans Electroencephalography Reproducibility of Results Rest Stress Disorders, Post-Traumatic
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