TY  - JOUR
AU  - Karstoft, Karen-Inge
AU  - Tsamardinos, Ioannis
AU  - Eskelund, Kasper
AU  - Andersen, Søren Bo
AU  - Nissen, Lars Ravnborg
PY  - 2020
DA  - 2020/7/22
TI  - Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning
JO  - JMIR Med Inform
SP  - e17119
VL  - 8
IS  - 7
KW  - decision support
KW  - machine learning
KW  - mental health
KW  - PTSD
KW  - military
KW  - screening
AB  - Background: Posttraumatic stress disorder (PTSD) is a relatively common consequence of deployment to war zones. Early postdeployment screening with the aim of identifying those at risk for PTSD in the years following deployment will help deliver interventions to those in need but have so far proved unsuccessful. Objective: This study aimed to test the applicability of automated model selection and the ability of automated machine learning prediction models to transfer across cohorts and predict screening-level PTSD 2.5 years and 6.5 years after deployment. Methods: Automated machine learning was applied to data routinely collected 6-8 months after return from deployment from 3 different cohorts of Danish soldiers deployed to Afghanistan in 2009 (cohort 1, N=287 or N=261 depending on the timing of the outcome assessment), 2010 (cohort 2, N=352), and 2013 (cohort 3, N=232). Results: Models transferred well between cohorts. For screening-level PTSD 2.5 and 6.5 years after deployment, random forest models provided the highest accuracy as measured by area under the receiver operating characteristic curve (AUC): 2.5 years, AUC=0.77, 95% CI 0.71-0.83; 6.5 years, AUC=0.78, 95% CI 0.73-0.83. Linear models performed equally well. Military rank, hyperarousal symptoms, and total level of PTSD symptoms were highly predictive. Conclusions: Automated machine learning provided validated models that can be readily implemented in future deployment cohorts in the Danish Defense with the aim of targeting postdeployment support interventions to those at highest risk for developing PTSD, provided the cohorts are deployed on similar missions. 
SN  - 2291-9694
UR  - http://medinform.jmir.org/2020/7/e17119/
UR  - https://doi.org/10.2196/17119
UR  - http://www.ncbi.nlm.nih.gov/pubmed/32706722
DO  - 10.2196/17119
ID  - info:doi/10.2196/17119
ER  -