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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/68904


    Title: 建立一個自動化分析系統用來分析任何兩種疾病之間的關聯性透過世代研究設計以及使用承保抽樣歸人檔;Building an automated analysis system to analyze correlation between any two diseases by cohort study design on Longitudinal Health Insurance Database (LHID)
    Authors: 林宗瑋;Lin,Tsung-Wei
    Contributors: 資訊工程學系
    Keywords: 健保資料庫;承保抽樣歸人檔;世代研究;自動化分析系統;National Health Insurance Research Database;Longitudinal Health Insurance Database;cohort study;automatic analysis system
    Date: 2015-08-04
    Issue Date: 2015-09-23 14:46:16 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 在台灣,全民健康保險研究資料庫(健保資料庫)在醫學研究上扮演著重要的角色。從2000年以來,健保資料庫的研究在文獻發表數量和研究品質上成長迅速。承保抽樣歸人檔是健保資料庫的子資料集,以研究為目的而建置的。因為有珍貴而且大量的資訊,有許多研究機構選擇健保資料庫或者承保抽樣歸人檔,來當作他們的研究資料。在2014年的期刊中,世代研究設計被廣泛應用在健保資料庫。隨著醫學資料庫中的資訊增長,醫學資料庫的研究效率將受到關注。然而,我們沒有發現在臺灣發表的出版物上有任何自動化的分析系統是建立在健保資料庫或者承保抽樣歸人檔上。因為健保資料庫中有很多珍貴的資訊,所以我們更需要快速而且有效率地找出資訊。在我們的研究中,我們要實作一個自動化分析系統建立在承保抽樣歸人檔上,藉由世代研究的研究設計來分析任何兩種不同疾病之間的關聯性。;In Taiwan, National Health Insurance Research Database (NHIRD) plays an important role on medical research. The NHIRD studies grow up rapidly in publication number and quality since 2000. The Longitudinal Health Insurance Database (LHID) is a data subset of the NHIRD and constructed for research purposes. Because of precious and numerous data, there are many research institutions selecting the NHIRD or LHID as their research resource now. Among journals in 2014, cohort study design is widely used in NHIRD. With the growth of the information in medical database, the efficiency of research on medical database will be concerned. However, we do not find any automated analysis system based on NHIRD or LHID in Taiwan’s publications. A lot of precious information is in the NHIRD, so we need to discover the information fast and efficiently. In our study, we want to implement an automatic analysis system to analyze correlation between any two diseases by cohort study design on the LHID.
    Appears in Collections:[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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