Forecasting Weekly Influenza Outpatient Visits Using a Two-Dimensional Hierarchical Decision Tree Scheme
學年 108
學期 2
出版（發表）日期 2020-07-01
作品名稱 Forecasting Weekly Influenza Outpatient Visits Using a Two-Dimensional Hierarchical Decision Tree Scheme
作品名稱（其他語言）
著者 Tian-Shyug Lee; I-Fei Chen; Ting-Jen Chang; Chi-Jie Lu
單位
出版者
著錄名稱、卷期、頁數 International Journal of Environmental Research and Public Health 17(13), 4743 (14 pages)
摘要 Influenza is a serious public health issue, as it can cause acute suffering and even death, social disruption, and economic loss. Effective forecasting of influenza outpatient visits is beneficial to anticipate and prevent medical resource shortages. This study uses regional data on influenza outpatient visits to propose a two-dimensional hierarchical decision tree scheme for forecasting influenza outpatient visits. The Taiwan weekly influenza outpatient visit data were collected from the national infectious disease statistics system and used for an empirical example. The 788 data points start in the first week of 2005 and end in the second week of 2020. The empirical results revealed that the proposed forecasting scheme outperformed five competing models and was able to forecast one to four weeks of anticipated influenza outpatient visits. The scheme may be an effective and promising alternative for forecasting one to four steps (weeks) ahead of nationwide influenza outpatient visits in Taiwan. Our results also suggest that, for forecasting nationwide influenza outpatient visits in Taiwan, one- and two-time lag information and regional information from the Taipei, North, and South regions are significant.
關鍵字 public health;influenza outpatient visits;hierarchical structure;forecasting;decision tree
語言 en
ISSN 1660-4601
期刊性質 國外
收錄於 SCI SSCI
產學合作
通訊作者 Chi-Jie Lu
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版,紙本
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