Fig. 4From: In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control studyFeature importance analysis revealing the top five most important variables in regularized logistic regression (RLR), random forest (RF), and extreme gradient boosting (XGB) algorithms. Stroke severity was the most important for predicting in-hospital fallsBack to article page