Accuracy and calibration of computational approaches for inpatient mortality predictive modeling

HIGHLIGHTS

• who: Christos T. Nakas and colleagues from the University Institute of Clinical Chemistry, Centre of Laboratory Medicine, Inselspital, Bern University Greece, Central Controlling Unit, Inselspital, Bern University, University of Bern, Bern, Switzerland have published the paper: Accuracy and Calibration of Computational Approaches for Inpatient Mortality Predictive Modeling, in the Journal: PLOS ONE | DOI:10.1371/journal.pone [0159046]. July 14, 2016 of July/14,/2016
• what: The authors show that statistical learning methodology can provide superior predictive performance in comparison to existing methods and can also be production ready. The authors reproduced the method proposed . . .
  

   

  

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