the study constructs predictive models that can be used in forecasting future health care cost of inpatient diagnoses with high incidence of occurrence for effective health care intervention. using various forecasting techniques, such as ARIMA and regression, the study aims to find the best fit for data for various health conditions so as to determine the best out-of-sample forecast.