Abstract: A method comprises receiving a prediction request that comprises a target patient population definition; in response to receiving the prediction request, performing in real-time: parsing the prediction request to identify the target patient population definition; mapping the one or more target patient population characteristics to a function of one or more input variables of a particular dataset, from a plurality of datasets; computing a weighted subset of patients; based, at least in part, on the target patient population definition and the particular dataset; computing the prediction data based on the weighted subset of patients; returning the prediction data.

Abstract: A method comprises receiving a prediction request that comprises a population definition and one or more healthcare treatment criteria specifying a treatment scenario; in response to receiving the prediction request, performing in a real-time: parsing the prediction request to identify the population definition and the one or more healthcare treatment criteria; mapping the one or more healthcare treatment criteria to a function of one or more input variables to determine a particular dataset, from a plurality of datasets; based, at least in part, on the population definition and the particular dataset, determining a response surface; determining prediction data by estimating, using the response surface which approximates the healthcare simulation model, simulation results that using the healthcare simulation model would yield; returning the prediction data.