Forecasting patient census: commonalities in time series models.

AUTOR(ES)

Wood, S D

RESUMO

Highly accurate patient census forecasting models are specified for five hospitals by use of a general equation for integrated autoregressive moving average (IARMA) forecasts. A general census forecasting model, based on features common to all five institution-specific models, is described and its forecasts are compared to those from the specific models.

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