Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models
Abstract Background Accurate forecasting of hospital outpatient visits is beneficial for the reasonable planning and allocation of healthcare resource to meet the medical demands. In terms of the multiple attributes of daily outpatient visits, such as randomness, cyclicity and trend, time series met...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-07-01
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| Series: | BMC Health Services Research |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12913-017-2407-9 |