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What is Heart Surgery Demand Forecasting Methods about?

The document discusses different forecasting methods to predict the demand for heart surgeries at Hartville General Hospital in year 6 based on data from the past 5 years. The hospital is considering exponential smoothing, trend-adjusted exponential smoothing, moving averages, and regression models. Based on whether the mean absolute deviation (MAD), mean squared error (MSE), or mean absolute percentage error (MAPE) is used, different forecasting methods would be recommended to choose.

Author

Amit Pandey

Language

EN