Forecasting of Daily Outpatient Visits Based on Genetic Programming

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LIU XIAOBING; Gu Fulai; Bai Zhaoyang; Huang Qiyang; Ma Ge

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF PUBLIC HEALTH Year:2022 | Volume:51 | Issue:6 Page(s): 1313-1322

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Title

Forecasting of Daily Outpatient Visits Based on Genetic Programming

Author(s)

Keywords

Daily outpatient visits

Forecasting

Time series data

Genetic programming

Outlier analysis

Abstract

Background: The forecasting of daily outpatient visits has significant practical implications in outpatient clinic operation management, not only contributing to guiding long-term resource planning and scheduling but also making tactical resolutions for short-term adjustments on special days such as holidays. We here in propose an effective genetic programming (GP)-based forecasting model to predict daily outpatient visits (OV) in a primary hospital. Methods: In the GP-based model, the holiday-based distance outlier mining algorithm was used to determine the holiday effect. In addition, solar terms were applied as the smallest unit to more accurately determine the impact of a change in the climate on the outpatient volume. A segmental learning strategy also was used to predict the daily outpatient volume for the time series data. Results: The GP-based prediction could more effectively extract depth information from a finite training sample size and achieve a better performance for predicting daily outpatient visits, with lower root mean square error (RMSE) and higher coefficient of determination (R 2 ) values, than the seasonal autoregressive integrated moving average (SARIMA) model in the time range of holidays and the holiday effect. Conclusion: GP-based model can achieve better prediction performance by overcoming the shortcomings of the SARIMA model. The results can be applied to support decision-making and planning of outpatient clinic resources, to help managers implement periodic scheduling of available resources on the basis of periodic features, and to perform proactive scheduling of additional resources.

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APA: Copy

LIU, XIAOBING, Gu, Fulai, Bai, Zhaoyang, Huang, Qiyang, & Ma, Ge. (2022). Forecasting of Daily Outpatient Visits Based on Genetic Programming. IRANIAN JOURNAL OF PUBLIC HEALTH, 51(6), 1313-1322. SID. https://sid.ir/paper/1044903/en

Vancouver: Copy

LIU XIAOBING, Gu Fulai, Bai Zhaoyang, Huang Qiyang, Ma Ge. Forecasting of Daily Outpatient Visits Based on Genetic Programming. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2022;51(6):1313-1322. Available from: https://sid.ir/paper/1044903/en

IEEE: Copy

XIAOBING LIU, Fulai Gu, Zhaoyang Bai, Qiyang Huang, and Ge Ma, “Forecasting of Daily Outpatient Visits Based on Genetic Programming,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 51, no. 6, pp. 1313–1322, 2022, [Online]. Available: https://sid.ir/paper/1044903/en

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