Bridging a translational gap: using machine learning to improve the prediction of PTSD-Reference-Cited by-同舟云学术

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Bridging a translational gap: using machine learning to improve the prediction of PTSD

Published:2015-03-16 Issue:1 Volume:15 Page:
ISSN:1471-244X
Container-title:BMC Psychiatry
language:en
Short-container-title:BMC Psychiatry

Author:

Karstoft Karen-Inge, ,Galatzer-Levy Isaac R,Statnikov Alexander,Li Zhiguo,Shalev Arieh Y

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health

Link

http://link.springer.com/article/10.1186/s12888-015-0399-8/fulltext.html

Reference45 articles.

1. Brewin CR, Andrews B, Valentine JD. Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. J Consult Clin Psychol. 2000;68(5):748–66.

2. Ozer EJ, Best SR, Lipsey TL, Weiss DS. Predictors of posttraumatic stress disorder and symptoms in adults: A meta-analysis. Psychol Bull. 2003;129(1):52–73.

3. Kessler RC, Sonnega A, Bromet E, Hughes M, Nelson C. Post-traumatic stress disorder in the National Comorbidity Survey. Arch Gen Psychiatry. 1995;52:1048–60.

4. Marmar CR, Weiss DS, Schlenger WE, et al. Peritraumatic dissociation and posttraumatic stress in male Vietnam theater veterans. Am J Psychiatry. 1994;151(6):902–7.

5. Shalev AY, Peri T, Canetti L, Schreiber S. Predictors of PTSD in injured trauma survivors: a prospective study. Am J Psychiatry. 1996;153(2):219–25.

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