Implications of non-stationarity on predictive modeling using EHRs
We study the effect of non-stationarity on predictive models of wound healing. Different types of non-stationarity are simulated by different splits of the dataset. Estimates of model performance change under different types of non-stationarity. Researchers should account for non-stationarity during model development.
predictive model wound healing data mining machine learning prognostic model