This paper is in the following e-collection/theme issue:

Machine Learning (1442) Posttraumatic Stress Disorder (PTSD) (113)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17119, first published .
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

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

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

Authors of this article:

Karen-Inge Karstoft1, 2 Author Orcid Image ;   Ioannis Tsamardinos3, 4 Author Orcid Image ;   Kasper Eskelund1, 5 Author Orcid Image ;   Søren Bo Andersen1 Author Orcid Image ;   Lars Ravnborg Nissen1 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Nissen L, Tsamardinos I, Eskelund K, Gradus J, Andersen S, Karstoft K. Forecasting military mental health in a complete sample of Danish military personnel deployed between 1992-2013. Journal of Affective Disorders 2021;288:167 View
  2. Tsamardinos I, Charonyktakis P, Papoutsoglou G, Borboudakis G, Lakiotaki K, Zenklusen J, Juhl H, Chatzaki E, Lagani V. Just Add Data: automated predictive modeling for knowledge discovery and feature selection. npj Precision Oncology 2022;6(1) View
  3. Karstoft K, Eskelund K, Gradus J, Andersen S, Nissen L. Early prediction of mental health problems following military deployment: Integrating pre- and post-deployment factors in neural network models. Journal of Psychiatric Research 2023;163:109 View
  4. Thomaidis G, Papadimitriou K, Michos S, Chartampilas E, Tsamardinos I. A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning. IBRO Neuroscience Reports 2023;15:77 View