Electronic clinical decision support device based on hospital demographics

An electronic clinical decision support (CDS) device employing a trained CDS algorithm that operates on values of covariates of a set of covariates to output a prediction of a medical condition, the trained CDS algorithm having been trained on a training data set of training samples, the CDS device comprising:

• a computer including a display and one or more user input devices, the computer programmed to:
• adjust the trained CDS algorithm for covariate shift by computing covariate shift adjustment weights for the training samples of the training data set using marginal probability distributions for the covariates of the set of covariates and performing update training on the training data set with the training samples weighted by the covariate shift adjustment weights;
• generate a prediction of the medical condition for a medical subject by applying the trained CDS algorithm adjusted for covariate shift to values for the medical subject of the covariates of the set of covariates;
• and
• display the generated prediction of the medical condition for the medical subject on the display.