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

BACKGROUND: Predicting Posttraumatic Stress Disorder (PTSD) is a pre-requisite for targeted prevention. Current research has identified group-level risk-indicators, many of which (e.g., head trauma, receiving opiates) concern but a subset of survivors. Identifying interchangeable sets of risk indica...

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Detalles Bibliográficos
Autores principales: Karstoft, Karen-Inge, Galatzer-Levy, Isaac R, Statnikov, Alexander, Li, Zhiguo, Shalev, Arieh Y
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360940/
https://www.ncbi.nlm.nih.gov/pubmed/25886446
http://dx.doi.org/10.1186/s12888-015-0399-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360940/
https://www.ncbi.nlm.nih.gov/pubmed/25886446
http://dx.doi.org/10.1186/s12888-015-0399-8

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