Your browser doesn't support javascript.
loading
Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.
Karstoft, Karen-Inge; Statnikov, Alexander; Andersen, Søren B; Madsen, Trine; Galatzer-Levy, Isaac R.
Affiliation
  • Karstoft KI; Research and Knowledge Centre, Danish Veteran Centre, Ringsted, Denmark. Electronic address: kareningekarstoft@gmail.com.
  • Statnikov A; Center for Health Informatics and Bioinformatics, NYU School of Medicine, New York, NY, USA; Department of Medicine, NYU School of Medicine, New York, NY, USA.
  • Andersen SB; Research and Knowledge Centre, Danish Veteran Centre, Ringsted, Denmark.
  • Madsen T; Research and Knowledge Centre, Danish Veteran Centre, Ringsted, Denmark; Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark.
  • Galatzer-Levy IR; Department of Psychiatry, NYU School of Medicine, New York, NY, USA.
J Affect Disord ; 184: 170-5, 2015 Sep 15.
Article in En | MEDLINE | ID: mdl-26093830

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stress Disorders, Post-Traumatic / Machine Learning / Military Personnel Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Country/Region as subject: Europa Language: En Journal: J Affect Disord Year: 2015 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stress Disorders, Post-Traumatic / Machine Learning / Military Personnel Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Country/Region as subject: Europa Language: En Journal: J Affect Disord Year: 2015 Type: Article