• Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury 

      Gravesteijn, BY; Nieboer, Daan; Ercole, Ari; Lingsma, Hester F; Nelson, David; Van Calster, Ben; Steyerberg, Ewout W; Andelic, Nada; Anke, Audny; Frisvold, Shirin; Helseth, Eirik; Røe, Cecilie; Røise, Olav; Skandsen, Toril; Vik, Anne (Peer reviewed; Journal article, 2020)
      Objective We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting We performed logistic regression ...
    • A scoping review describes methods used to identify, prioritize and display gaps in health research 

      Nyanchoka, Linda; Tudur-Smith, Catrin; Thu, Van Nguyen; Iversen, Valentina Cabral; Tricco, Andrea C.; Porcher, Raphaël (Peer reviewed; Journal article, 2019)
      Background and Objectives Different methods to examine research gaps have been described, but there are still no standard methods for identifying, prioritizing, or reporting research gaps. This study aimed to describe ...