Now showing items 1-2 of 2

  • Hellstrøm, Torgeir; Kaufmann, Tobias; Andelic, Nada; Søberg, Helene L.; Sigurdardottir, Solrun; Helseth, Eirik; Andreassen, Ole Andreas; Westlye, Lars Tjelta (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Objective: Accurate outcome prediction models for patients with mild traumatic brain injury (MTBI) are key for prognostic assessment and clinical decision-making. Using multivariate machine learning, we tested the unique ...
  • Hellstrøm, Torgeir; Westlye, Lars Tjelta; Kaufmann, Tobias; Doan, Nhat Trung; Søberg, Helene L.; Sigurdardottir, Solrun; Nordhøy, Wibeke; Helseth, Eirik; Andreassen, Ole Andreas; Andelic, Nada (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Identifying patients at risk of poor outcome after mild traumatic brain injury (MTBI) is essential to aid prognostics and treatment. Diffuse axonal injury (DAI) may be the primary pathologic feature of MTBI but is normally ...