研究生: |
朱紘毅 Hong-Yi Chu |
---|---|
論文名稱: |
建立病患就醫科別序列之研究-以史蒂芬強生症候群為例 Applying Sequential Pattern Approach to Identify Clinic Sequence - An Example of Stevens-Johnson Syndrome |
指導教授: |
歐陽超
Chao Ou-Yang |
口試委員: |
郭人介
Ren-Jieh Kuo 汪漢澄 Han-Cheng Wang |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 61 |
中文關鍵詞: | 史蒂芬強生症 、資料探勘 、序列性關聯 、序列性關聯演算法 、就醫行為 、用藥行為 |
外文關鍵詞: | Stevens - Johnson Syndrome, Data Mining, Sequential Association Rules, Algorithm of Sequential Association Rules, Chosen Behaviors of Specialties, Prescription of Behavior |
相關次數: | 點閱:583 下載:5 |
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史蒂芬強生症是一種罕見且嚴重的疾病,其特徵為表皮的細胞死亡、真皮與表皮分離,是一種可致命的皮膚疾病。引起史蒂芬強生症的因素很多種,其中大多數病例為不當使用藥物所導致。會引起史蒂芬強生症藥物廣泛分佈於各種不同的醫療用途,然而只有極少數的醫師熟悉這些藥物,導致時常有使用SJS 用藥而導致得病的案例。
本研究使用台灣全民健保資料庫,以某一年份之史蒂芬強生症病患為例。藉由資料探勘分析病患資料,把病患的就醫與用藥記錄,透過關聯法則找出資料間的相關關係。根據關聯法則中的序列模式,把病患就醫與用藥記錄以序列模式呈現,並運用GSP、PrefixSpan 演算法找出高頻率的就醫與用藥序列,所得結果可作為醫療上的參考。
Stevens-Johnson syndrome (SJS), a form of toxic epidermal necrolysis, is a lifethreatening skin condition, in which cell death causes the epidermis to separate from the dermis. There are many factors cause SJS, most of SJS cases are caused by using improper drugs. The drugs which cause SJS are used in various medical fields. However, very few physician are familiar with all these drugs, so there are many cases when physician is not aware about the drugs causing SJS.
This study uses 1-year data of Taiwan’s NHIRD (National Health Insurance Research Database) to find the sequential pattern of medical specialties and their prescription for SJS patients. Two sequential patterns mining algorithms, GSP and PrefixSpan are used to find patterns. The research results could be use as medical reference.
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