Research Article

Long-Term Prediction of Emergency Department Revenue and Visitor Volume Using Autoregressive Integrated Moving Average Model

Table 5

Prediction results of autoregressive integrated moving average (ARIMA) models in 2009.

DateED revenueTraumatic visitNontraumatic visitPediatric visit
True ValueForecasted valueTrue valueForecasted valueTrue valueForecasted valueTrue valueForecasted value

Jan-094,767,5593,676,314 584 4721,415 8261,204 551
Feb-093,885,6394,547,216 465 4981,1621,177 630 699
Mar-093,419,0703,529,467 597 5351,090 857 595 719
Apr-093,897,3913,313,426 582 507 945 910 546 740
May-093,804,0372,158,604 572 502 962 862 613 712
Jun-093,336,9495,126,700 570 539 852 946 491 657
Jul-093,642,3915,576,091 599 575 903 845 476 560
Aug-094,703,7075,731,772 692 5901,179 917 802 548
Sep-095,058,5385,787,666 675 6251,3661,0471,324 787

MAPE22.61%
(14.38%~29.73%)
12.39%
(10.16%~19.12%)
19.59%
(13.71%~41.61%)
29.08%
(5.73%~54.24%)

MAPE: mean absolute percentage of error.