• 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 (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-19)
      <i>Objective</i> - We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury.<br><br> <i>Study Design and Setting</i> - We performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, <i>n</i> = 11,022). ML algorithms ...