17 citations · 33 across the 4 of their papers we have counts for
4 papers
Comparing methods addressing multi-collinearity when developing prediction models
Artuur M. Leeuwenberg, Maarten van Smeden, Johannes A. Langendijk +5
Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associatio…
Real-time imputation of missing predictor values in clinical practice
Steven WJ Nijman, Jeroen Hoogland, T Katrien J Groenhof +6
Use of prediction models is widely recommended by clinical guidelines, but usually requires complete information on all predictors that is not always available in daily practice. W…
Decision Support in the Context of a Complex Decision Situation
Teus H. Kappen, Mirko Noordegraaf, Wilton A. van Klei +2
The aim of a clinical decision support tool is to reduce the complexity of clinical decisions. However, when decision support tools are poorly implemented they may actually confuse…
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner +15
Machine learning (ML), artificial intelligence (AI) and other modern statistical methods are providing new opportunities to operationalize previously untapped and rapidly growing s…