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Machine learning model predicts PTSD symptom severity over timeIn a new study, Yale researchers used brain imaging and machine learning to build models that were able to predict the severity of PTSD symptoms, in both the short and long term, in people who ...
Post-Traumatic Stress Disorder 4 Possible Subtypes of PTSD Powerful statistical tools advance our understanding of critical issues.
Symptoms include flashbacks, hyperarousal, avoidance of trauma-related stimuli, and changes in emotional and cognitive responses. Despite numerous studies in the field, PTSD diagnosis is still ...
For example, Shalev points out, the new analysis model can help determine that a specific patient will likely (e.g., > 40%; 50%) remain with chronic PTSD unless treated, whereas another from the ...
Cite this: Brain Alterations Linked With Symptoms of PTSD, Functional Neurologic Disorders - Medscape - May 02, 2017. Authors and Disclosures. Authors and Disclosures Journalist ...
A generative artificial intelligence (AI) model that can analyze the narrative accounts of women who have undergone recent childbirth has shown the ability to accurately screen for post-traumatic ...
Nearly one-fifth of patients who undergo hematopoietic stem cell transplantation develop symptoms of PTSD within 6 months, according to study results presented during the ASCO20 Virtual Scientific ...
Authors of work discussed below, Identifying PTSD symptoms typologies: A latent class analysis (Campell, Trachik, Goldberg and Simson, 2020) highlight the “precision medicine” trend. Precision ...
New findings from an international research team led by psychiatrists at NYU School of Medicine show that a newly-developed analytic model can predict soon after a shocking or scary event—and ...
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