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研究生:朱紘毅
研究生(外文):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
論文名稱(外文):Applying Sequential Pattern Approach to Identify Clinic Sequence - An Example of Stevens-Johnson Syndrome
指導教授:歐陽超歐陽超引用關係
指導教授(外文):Ou-Yang Chao
口試委員:歐陽超
口試委員(外文):Ou-Yang Chao
口試日期:2016-06-21
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:工業管理系
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
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 SyndromeData MiningSequential Association RulesAlgorithm of Sequential Association RulesChosen Behaviors of SpecialtiesPrescription of Behavior
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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.
摘要 I
Abstract II
致謝 III
目錄 IV
圖目錄 VI
表目錄 VII
第一章 緒論 1
1.1 研究背景 1
1.2 研究目的 2
1.3 論文架構 2
第二章 文獻探討 4
2.1 運用健保資料庫研究史蒂芬強生症 4
2.2 資料探勘 5
2.3 Apriori 關聯規則 6
2.4 序列性關聯演算法 6
2.5 應用 8
第三章 研究方法 9
3.1 研究流程與架構 9
3.2 資料前處理 11
3.2.1 類別檔整理與合併 11
3.2.2 篩選SJS 病患資料 13
3.2.3 用藥分類及篩選 14
3.3 序列性關聯-就醫科別與用藥之關聯 16
3.3.1 序列關聯之定義 17
3.3.2 主要族群的序列關聯 18
3.3.3 高頻就醫序列之用藥序列 20
3.4 用藥序列關聯 21
3.4.1 用藥序列關聯之定義 21
3.4.2 SJS 用藥的序列關聯 22
3.5 研究限制 23
第四章 實作研究 25
4.1 資料介紹 26
4.2 資料前處理 26
4.2.1 類別檔整理與合併實作 27
4.2.2 就醫科別之取得與整併 28
4.2.3 就醫科別編碼 29
4.2.4 SJS 用藥分類及篩選 31
4.2.5 篩選SJS 病患資料 31
4.3 就醫科別與用藥之關聯分析 31
4.3.1 就醫序列關聯分析 32
4.3.2 各組的用藥序列關聯分析 34
4.4 用藥序列關聯分析 37
4.5 討論與分析 39
第五章 結論與建議 41
5.1 結論 41
5.2 未來建議 42
參考文獻 4.3
附錄 A SJS 病患就醫與SJS 用藥序列(就醫1 次) 47
附錄 B1 SJS 病患就醫與SJS 用藥序列(就醫2 次) 48
附錄 B2 SJS 病患就醫與SJS 用藥序列(就醫2 次) 49
附錄 C1 SJS 病患就醫與SJS 用藥序列(就醫3 次) 50
附錄 C2 SJS 病患就醫與SJS 用藥序列(就醫3 次) 51
附錄 D1 SJS 病患就醫與SJS 用藥序列(就醫4 次) 52
附錄 D2 SJS 病患就醫與SJS 用藥序列(就醫4 次) 53
附錄 E1 SJS 病患就醫與SJS 用藥序列(就醫5 次) 54
附錄 E2 SJS 病患就醫與SJS 用藥序列(就醫5 次) 55
附錄 F1 SJS 病患就醫與SJS 用藥序列(就醫6~8 次) 56
附錄 F2 SJS 病患就醫與SJS 用藥序列(就醫6~8 次) 57
附錄 F3 SJS 病患就醫與SJS 用藥序列(就醫6~8 次) 58
附錄 G1 SJS 病患就醫與SJS 用藥序列(就醫9 次以上) 59
附錄 G2 SJS 病患就醫與SJS 用藥序列(就醫9 次以上) 60
附錄 G3 SJS 病患就醫與SJS 用藥序列(就醫9 次以上) 61
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