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頁籤選單縮合
題 名 | 以Apriori演算法建構季節流行病關係模型=Using Apriori Algorithm to Construct the Season-Patient Relationship Model of Pandemic |
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作 者 | 林俊榮; 王麗芬; 王淑莉; 張立興; 許香蘭; | 書刊名 | 光田醫學雜誌 |
卷 期 | 4:8 2009.09[民98.09] |
頁 次 | 頁99-108 |
分類號 | 419.21 |
關鍵詞 | 資料採擷; 關聯法則; 流行病學; Apriori; Data mining; Association rule; Epidemiology; |
語 文 | 中文(Chinese) |
中文摘要 | 民國八十四年全民健保開辦,到民國九十二年由健保紙卡更替為目前使用的IC卡,代表著民眾的就醫紀錄也隨著醫療電子化,被完整的紀錄下來。而這些資料最後都因醫療院所向健保局申請醫療費用而彙總至中央健保局。這些大量數位化的資料,使我們可以從過去的使用統計學方法進行流行病學的分析與預測,改變為運用資料採擷技術分析記錄既有的醫療相關資料,進而找出隱藏於其中的資訊,且可應用在醫師進行醫療時的輔助,或是一般民眾進行醫療保健時的參考。 本研究提出一個以關聯式的資料挖掘為架構,應用資料擷取技術中的關聯法則,探討季節與疾病及疾病與疾病之間是否有某種程度上的關聯。本研究以年度、季節進行疾病分析,得到疾病之支持度與信賴度,說明此區間之疾病的高頻項目集合,再進行疾病間的關聯分析,推測同時患疾病與疾病間的支持度與信賴度,進而預測出當我們罹患了某疾病,他所可能會帶來的隱藏性疾病,並以圖型化方式呈現出研究成果。 |
英文摘要 | NHI commencement of process in 1995 and the NHI card made of paper replacement for the chip card in 2003. From that to show people’s medical record are records completely with medical electronically. Those data will collect to the Central Health Insurance Bureau by all medical institutions applies for medical expenses. A large number of digitization data, let we can use epidemiological analysis and prediction by statistics in the past, but now change to analysis the existing medical records by data mining techniques, to find hidden information in that. Besides, when doctor treatment may have assisted or the people may have reference when medical care. These papers propose a relational data mining as the framework, and use the association rule in data acquisition techniques to discussion whether this is relationship between seasons and disease or between disease and disease. This paper use disease analysis with year and season to get support and reliability of disease. Illustrate this range of diseases’ collection of high-frequency items, further relational analysis between diseases. To speculate support and reliability of disease and forecast hidden disease when we suffer from the disease. And then, it will show research achievement by graphically. |
本系統中英文摘要資訊取自各篇刊載內容。