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Table 4 Best-fit ARIMA models and their predictors by patient acuity category

From: Forecasting daily attendances at an emergency department to aid resource planning

    

MAPE (%)

Patient acuity category

Best-fit model

No. of predictors

Predictors (maximum lag correlation)

Test

Validation

P1

ARIMA(0,1,1)

1

PSI > 50 (2 days)

18.2

16.8

P2

ARIMA(1,1,1)(1,0,1)

1

Public holiday (1 day)

7.7

6.7

P3

ARIMA(0,1,1)(1,0,1)

2

Public holiday (1 day), PSI > 50 (0 day)

7.2

8.6

All

ARIMA(0,1,1)(1,0,1)

1

Public holiday (1 day)

4.4

4.8

  1. ARIMA: auto-regression integrated moving average
  2. MAPE: mean absolute percentage error
  3. (p, d, q)(P, D, Q): p is the order of auto-regression, d is the order of differencing (integration), and q is the order of moving average; P, D, Q are their seasonal counterparts