頁籤選單縮合
題 名 | 以資料挖掘模式實施緊急救護量預測=Data Mining Model for Ambulance Run Forecast |
---|---|
作 者 | 紀志賢; 曾詠淑; 林錫璋; 陳澤生; 蔡良敏; | 書刊名 | 慈濟醫學 |
卷 期 | 11:4 1999.12[民88.12] |
頁 次 | 頁337-341 |
分類號 | 419.53 |
關鍵詞 | 救護車; 資料挖掘技術; 緊急醫療網; 預測; Ambulance service; Data mining; Emergency medical service; Prediction; |
語 文 | 中文(Chinese) |
英文摘要 | Objective: The purpose of this study was to evaluate aforecast model to predict ambulance run and ambulance non-transport. Metorials and Methods: The model was set up by using a Back-Propagation Network for ambulance mission prediction.. Input variables included month, holidays, time of ambulance call, result of ambulance call, temperature, and humidity. Output results included ambulance run and non-transport. Data from the Tainan City dispatch center from 1996 and 1997 were used for setting up the model. Data from 1998 was used to test the model. Results: The averages mean prediction error was between [-6.1, 6.1] percent. A larger error was noted during January and February (spring vacation period in Taiwan). Conclusion: The data mining model could provide forecasts of future ambulance service run volume and non-transport. With the development of medical informatics, using a predicting model for planning medical demand is feasible. Further evaluation and application are warranted for cost-effective medical resource management. |
本系統中英文摘要資訊取自各篇刊載內容。