(3.232.129.123) 您好!臺灣時間:2021/03/04 18:21
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:吳長倫
研究生(外文):Chang- lun Wu
論文名稱:應用約略集理論幫助診斷鼻喉症狀
論文名稱(外文):Applying Rough Sets to Help Diagnose Diseases of Otolaryngology
指導教授:楊旭豪楊旭豪引用關係
指導教授(外文):Hsu-Hao Yang
學位類別:碩士
校院名稱:國立勤益科技大學
系所名稱:工業工程與管理系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:60
中文關鍵詞:約略集耳鼻喉科資料採礦決策規則
外文關鍵詞:Rough setsOtolaryngologyData miningDecision rules
相關次數:
  • 被引用被引用:2
  • 點閱點閱:107
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
一般人最常去醫院求診的原因是因為感冒,「感冒」是指上呼吸道受到濾過性病毒的感染,當就診耳鼻喉科時,醫生診斷會先根據外觀和口頭上的敘述,再以臨床經驗診斷病患。但因存在可能有不確定的部分,而導致診斷產生誤差,因此判定給藥可能會有浪費健保等情形。
因此本研究應用約略集理論(Rough sets) 找出條件屬性(Condition
Attributes)與決策屬性(Decision Attributes)之間的關係,其中條件屬性包括:發燒、咳嗽、有痰、鼻分泌物、鼻塞、鼻痛、鼻腫脹、噴嚏、呼吸道感染、咽喉炎、頭痛、暈眩等十二個,而決策屬性為診斷結果。根據這些條件屬性進而擷取出規則以幫助診斷病因。
本研究是以國內某耳鼻喉科診所資料為基礎,應用約略集理論找出病患症狀和醫生最後診斷結果的關係。經與醫生討論研究結果後,在決策規則部分,應用LEM2 演算法將VPM 中的b 值設定為0.6 時,最合乎醫生常用的參數。而核屬性將屬性項目中的呼吸道感染、暈眩兩項刪去則是出乎意料,醫生認為其中的呼吸道感染是屬於較為最重要的屬性項目,也就是說Reduct 1 = {發燒、咳嗽、有痰、鼻分泌物、鼻塞、鼻痛、鼻腫脹、噴嚏、呼吸道感染、咽喉炎、頭痛},是醫生認為較理想的情況,因此刪除呼吸道感染這項屬性項目也是醫生未曾遇期的。本研究結果顯示將呼吸道感染這項條件屬性刪除,依然保持相當的解釋能力。
This research aims to find important factors to help diagnose Otolaryngological patients. Rough sets theory was applied in this research. The rough sets theory includes attributes that can be classified into conditions or decisions. We selected twelve condition attributes and one decision attribute.
Condition attributes include: fever, cough, sputum, nasal, nasal obstruction, nasal pain, posterior nasal dripping, sneezing, acute upper respiratory infection, throat, headache, and dizziness. The decision attribute has three categories according to the severity of the diagnosis, including: nasosinusitis, upper respiratory infection, and nasosinusitis & upper respiratory infection. The research obtained the rules of knowledge to help diagnose effectively.
This research was based on the data from a local clinic of Otolaryngology.
After discussing the results with the doctor, we obtained two reducts. The doctor did not expect to eliminate acute upper respiratory infection and dizziness from the set of condition attributes. And the doctor thinks that acute upper respiratory infection is more important.
中文摘要 -------------------------------------------------------------------------------------- i
英文摘要 -------------------------------------------------------------------------------------- ii
誌謝 -------------------------------------------------------------------------------------- iii
目錄 -------------------------------------------------------------------------------------- iv
表目錄 -------------------------------------------------------------------------------------- v
圖目錄 -------------------------------------------------------------------------------------- vi
符號說明 -------------------------------------------------------------------------------------- vii
第一章 緒論-------------------------------------------------------------------------------- 1
1.1 研究背景與動機----------------------------------------------------------------- 1
1.2 研究目的-------------------------------------------------------------------------- 2
1.3 研究範圍與限制----------------------------------------------------------------- 3
1.4 研究架構-------------------------------------------------------------------------- 3
第二章 耳鼻喉科介紹和文獻回顧----------------------------------------------------- 5
2.1 耳鼻喉科疾病介紹-------------------------------------------------------------- 5
2.1.1 急性鼻竇炎----------------------------------------------------------------------- 8
2.1.2 急性上呼吸道感染-------------------------------------------------------------- 9
2.2 相關文獻回顧-------------------------------------------------------------------- 10
2.2.1 約略集合的發展----------------------------------------------------------------- 10
2.2.2 約略集合與醫學相關研究----------------------------------------------------- 10
第三章 研究方法與資料說明----------------------------------------------------------- 12
3.1 約略集合理論-------------------------------------------------------------------- 12
3.2 決策資訊系統不可區分關係-------------------------------------------------- 13
3.3 約略集合的近似關係----------------------------------------------------------- 14
3.4 近似正確率與近似品質-------------------------------------------------------- 17
3.5 屬性化簡與核屬性-------------------------------------------------------------- 18
3.6 決策規則-------------------------------------------------------------------------- 21
3.7 資料說明-------------------------------------------------------------------------- 22
第四章 研究結果與分析----------------------------------------------------------------- 25
4.1 資料分類近似正確率----------------------------------------------------------- 25
4.2 資料之屬性化簡與核屬性----------------------------------------------------- 26
4.3 核屬性分類近似度之顯著性-------------------------------------------------- 27
4.4 分類之決策規則----------------------------------------------------------------- 31
4.5 決策分類結果之驗證----------------------------------------------------------- 35
第五章 結論與建議----------------------------------------------------------------------- 38
參考文獻 -------------------------------------------------------------------------------------- 40
附錄 -------------------------------------------------------------------------------------- 44
1. 李昆鴻,2002,醫學影像之診斷-應用約略集合理論與類神經網路,東海大學,碩士論文。
2. 林傑斌、劉明德、陳湘,2002,資料採掘與OLAP 理論與實務,文魁資訊股份有限公司,台北。
3. 張立命,2002,應用資料採礦於健保醫療資料之研究,國立中央大學,碩士論文。
4. 李雄飛、李軍,2003,數據挖掘與知識發現,高等教育出版社,北京。
5. 符懋應,2003,使用約略集合理論於醫療診斷支援系統之應用,南華大學,碩士論文。
6. 雷賀君,2004,前十字韌帶傷害快速診斷系統-以約略集合、基因演算法與倒傳遞網路為工具,大葉大學,碩士論文。
7. 左涵瀧,2005,資料採礦在心血管疾病預測之應用,南台科技大學,碩士論文。
8. 賴威利,2005,利用約略集合理論預測燒燙傷患者死亡率,南台科技大學,碩士論文。
9. 中央健康保險局,2005,http://www.nhi.gov.tw。
10. 國際厚生健康園區,2005,http://www.24drs.com/。
11. 亞東紀念醫院,2005,http://www.femh.org.tw/main/main.aspx。
12. A.I. Dimitras, R. Slowinski, R. Susmaga and C. Zopounidis, (1999). Business failure prediction using rough sets. European Journal of Operatonal Research,114,263-280.
13. A. Skowron, C. Rauszer, (1992). The discernibility matrices and functions in information systems. In Slowinski, R., editor, Intelligent decision support: Handbook of applications and advances of rough set theory, volume 11 of System 41 Theory, Knowledge Engineering and Problem Solving, 331-362. Kluwer,Dordrecht, 15.
14. B. Predki, R. Slowinski, J. Stefanowski, R. Susmaga & Sz. Wilk, (1998). ROSE -software implementation of the rough set theory.
15. B. Walczak and D.L. Massart, (1999). Rough sets theory. Chemometrics and Intelligent Laboratory System, 47, 1-16.
16. Baowen Xu, Yuming Zhou and Hongmin Lu, (2005). An improved accuracy measure for rough sets. Journal of Computer and System Sciences 71 163–173.
17. Garey Goh and Rob Law, (2003). Incorporating the rough sets theory into travel demend analysis. Tourism Management 24, 511-517.
18. Grzymała-Busse, J.W., (1992). LERS—a system for learningfrom examples based on rough sets. In: Słowinski, R. (Ed.), Intelligent Decision Support–Handbook of Applications and Advances of the Rough Set Theory Kluwer
Academic Publishers, Dordrecht/Boston, 3-18.
19. Grzymała-Busse, J.W., Ming, H., (2001). A comparison of several approaches to missing attribute values in data mining. In: Ziarko, W., Yao, Y. (Eds.), Rough Sets and Current Trends in Computing. In: Lecture Notes in Artificial Intelligence, vol. 2005. Springer-Verlag, Berlin, 340-347.
20. Jerzy Zaluski1, Renata Szoszkiewicz1, Jerzy Krysinski and Jerzy Stefanowski (2004). Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients. Transactions on Rough Sets I, LNCS 3100 375–391.
21. J. Strazyk, D. Nelson, K. Strutz, (1999). Reducts in Composed Information Systems. Bulletin of international rough set society, 3(1/2):19-22.
22. J. Strazyk, D. Nelson, K. Sturtz, (2000). A Mathematical foundation for Improved Reduct Generation in Information Systems. Journal of Knowledge and Information System, Vol.2, No.2, March, 131-146
23. J. Stefanowski, D. Vanderpooten, (2001). Induction of decision rules in classification and discovery-oriented perspectives. International Journal of Intelligent Systems, 16(1), 13-28.
24. M. Banerjee, M. K.A. Chakraborty, (1993). category for rough sets. Foundations of Computing and decision sciences, 18(3-4):167-180.
25. N. Zhong, A. Skowron, (2001). A rough set-based knowledge discovery process.International Journal Appl. Math. Computer Science, Vol.11, No.3, 603-619.
26. Questier, F., Arnaut-Rollier, I., Walczak, B., Massart, D.L., (2002). Application of rough set theory to feature selection for unsupervised Clustering. Chemometrics and Intelligent Laboratory System, 63/2., pp.155-167.
27. Sz. Wilk, R.Slowinski, W. Michalowski and S. Greco, (2005). Supporting triage of children with abdominal pain in the emergency room. European Journal of Operatonal Research, 160, 696-709.
28. Tsumoto Shusaku, (2004). Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. Information Sciences, 162, 65-80.
29. Tsumoto S, Slowinski R, Komorowski HJ, (2004). Rough Sets and Current Trends in Computing. LNAI 3066, Berlin, Heidelberg: Springer-Verlag, 26-37.
30. Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xia and Richard Jensen,(2006). Feature selection based on rough sets and particle swarm optimization.Pattern Recognition Letters, 28, 459-471.
31. Xiang yang Wang, Jie Yang, Richard Jensen and Xiao jun Liu, (2006). Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma. Computer Methods and Programs in Biomedicine, 83, 147-156.
32. Z. Pawlak, (1982) Rough sets. International Journal of Computer and Information Science, 341-356.
33. Z. Pawlak, (1991) Rough sets:theoretical aspects of reasoning about data. Norwell, USA : Kluwer Academic Pub2 lishers.
34. Z. Pawlak, (1997). Rough set approach to knowledge-based decision support. European Journal of Operatonal Research, 99, 48-57.
35. Z. Pawlak, (2002). A primer on rough sets: a new approach to drawing conclusion form data. PAWLAKGLY6.DOC, Vol.1407-1415.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊
 
系統版面圖檔 系統版面圖檔