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.
Karen-Inge KarstoftIoannis TsamardinosKasper EskelundSøren Bo AndersenLars Ravnborg NissenPublished in: JMIR medical informatics (2020)
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.