Machine learning prediction of posttraumatic stress disorder trajectories following traumatic injury: Identification and validation in two independent samples

Due to its heterogeneity, the prediction of posttraumatic stress disorder (PTSD) development after traumtic injury is difficult. Recent machine learning approaches have yielded insight into predicting PTSD symptom trajectories. Using data collected within 1 month of traumatic injury, we applied eXtr...

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Veröffentlicht in:	Journal of traumatic stress 2022-12, Vol.35 (6), p.1656-1671
Hauptverfasser:	Tomas, Carissa W., Fitzgerald, Jacklynn M., Bergner, Carisa, Hillard, Cecilia J., Larson, Christine L., deRoon‐Cassini, Terri A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Area Under Curve Humans Machine Learning Post traumatic stress disorder Risk Factors Self Report Stress Disorders, Post-Traumatic - diagnosis Trauma
Online-Zugang:	Volltext
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