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Accuracy of the Epic Sepsis Prediction Model in a Regional Health System
Interest in an electronic health record-based computational model that can accurately predict a patient's risk of sepsis at a given point in time has grown rapidly in the last several years.
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies
Our contributions are three-fold: (1) establishing the equivalence between KMR and KDC; (2) showing that the principles of kernel machine regression can be applied to the interpretation of KDC; (3) the development of a broader class of KDC statistics, that the members are the quantities of different kernels.
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