Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Schematic flowchart of the proposed hybrid algorithms.

More »

Fig 1 Expand

Fig 2.

Time series plot of the patients arrivals in ED.

More »

Fig 2 Expand

Table 1.

Characteristics of Input Features.

More »

Table 1 Expand

Fig 3.

Box-plot of the ED patients by calendar features.

More »

Fig 3 Expand

Fig 4.

Box-Plot of the ED patients by meteorological features.

More »

Fig 4 Expand

Fig 5.

Sample ACF and PACF of daily number of ED patients.

More »

Fig 5 Expand

Table 2.

Results of ARIMAX.

More »

Table 2 Expand

Fig 6.

Feature importance in ANN.

More »

Fig 6 Expand

Table 3.

Comparing the accuracy of forecasting with ARIMA, ANN, two hybrid algorithms, LSTM and GLM.

More »

Table 3 Expand

Fig 7.

Comparing the forecasts of ARIMAX, ANN, two hybrid algorithms, LSTM, and GLM with actual data.

More »

Fig 7 Expand