Forecasting individual risk for long-term Posttraumatic Stress Disorder in emergency medical settings using biomedical data: A machine learning multicenter cohort study

Forecasting individual risk for long-term Posttraumatic Stress Disorder in emergency medical settings using biomedical data: A machine learning multicenter cohort study

The necessary requirement of a traumatic event preceding the development of Posttraumatic Stress Disorder, theoretically allows for administering preventive and early interventions in the early aftermath of such events. Machine learning models including biomedical data to forecast PTSD outcome after...

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Bibliographic Details
Main Authors: Katharina Schultebraucks, Marit Sijbrandij, Isaac Galatzer-Levy, Joanne Mouthaan, Miranda Olff, Mirjam van Zuiden
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:Neurobiology of Stress
Subjects:
PTSD
Traumatic stress
Biomarkers
Prognosis
Machine learning
HPA axis
Online Access:http://www.sciencedirect.com/science/article/pii/S2352289521000059

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http://www.sciencedirect.com/science/article/pii/S2352289521000059

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