Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD

Lignende værker

• Bridging a translational gap: using machine learning to improve the prediction of PTSD
  af: Karstoft, Karen-Inge, et al.
  Udgivet: (2015)
• Quantitative Forecasting of PTSD from Early Trauma Responses: A Machine Learning Application
  af: Galatzer-Levy, Isaac R., et al.
  Udgivet: (2014)
• Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure
  af: Mareike Augsburger, et al.
  Udgivet: (2020-06-01)
• Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure
  af: Augsburger, Mareike, et al.
  Udgivet: (2020)
• SKA2 Methylation is Involved in Cortisol Stress Reactivity and Predicts the Development of Post-Traumatic Stress Disorder (PTSD) After Military Deployment
  af: Boks, Marco P, et al.
  Udgivet: (2016)