1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Theses
  5. Item

學術產出-Theses

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 個人化智慧型健檢決策支援系統
作者 龔文亮
貢獻者 余千智
龔文亮
關鍵詞 智慧型決策支援系統
個人化健檢
保健醫療
日期 2007
上傳時間 1-Sep-2015 16:10:40 (UTC+8)
摘要 近年來，產、官、學界逐漸重視民眾健康資訊的管理與應用，加上消費者自主意識的提高，促使醫院加速進行醫療資訊化，以提升醫療品質及效率，同時滿足就醫者對醫療相關資訊與決策支援的需求。此外，網際網路技術的快速發展、健康保健觀念及醫療資訊政策普及化所帶來的影響，也使得提供線上即時、個人化、智慧型的健檢決策支援系統，成為了一個關鍵的研究與實務應用課題。目前大多數的健康檢查中心因主、客觀的限制，只能提供就醫者套餐式健檢組合，供就醫者作為健康檢查參考。依醫者雖可選擇健檢服務客製化模式，就個人需要或喜好增減檢查項目，但仍無法滿足個人化健檢服務需求，亦即得到專業推薦且符合個人差異與需要的個人化健檢組合方案。再者，過去的健檢系統除缺乏個人化健檢推薦功能，對於個人保健建議及後續就醫服務等亦缺乏整合性服務。而以往醫療資訊化過程中，因缺乏醫療資訊標準格式之發展，也限制醫療資訊在院所間之交換與流通，造成整合性醫療服務的困難。面對上述醫療資訊不對稱及個人化保健與醫療系統支援環境缺乏的困難，整合資料、模式及知識技術的個人化智慧型健檢決策支援系統，成為一個可行且重要的解決方法。由於此課題在文獻上缺乏具體成果，本研究的目的即在提出一個全球資訊網環境中個人化智慧型健檢決策支援系統 (Personalized Intelligent Decision Support System for Health Examination, PIDSSHE)的架構及流程，系統功能著重於個人化健檢、保健及醫療等方案的推薦，以及智慧型輔助診斷和即時性醫療資訊交換等。本論文也將提出系統發展方法並建置原型系統，以驗證架構、流程及方法的可行性與效益。
In recent years, the health industry, the government as well as the academic area pay more attention to the people’s health information management and applications. Due to the promotion of consumer health information, the proliferation of Internet, the awareness of healthcare, and the policy of mdical care information, how to provide online personalized intelligent healthcare decision support systems becomes an critical academic and applied research issue. Most health exam centers only offer health exam packages to the patients due to subjective or objective restrictions. Even the patients may customize their health exams by adding or dropping certain health exam items, it does not meet the needs of personalized health exam recommendation based on individual differences and personal needs. Moreover, there are no integrated services for follow-up personalized clinical care recommendations. The exchanges of medical information between hospitals are limited due to the lacks of medical information exchange standards. In turn, it leads to the gaps of integrated medical services. Facing the medical information assymetry and the difficulties of current medical supporting environment, an intelligent decision support system for personalized healthcare based on the integration of data, models, and knowledge is a feasible and important solution. To fill the research gaps, our research proposes a web-based intelligent decision support system for personalized health care. To fill the research gaps, our research is to propose the system architecture and processes of a Web-based intelligent decision support systems for personalized healthcare. We also illustrate our system development methodology as well as our prototype to validate the feasibility and effectiveness of our system architecture, processes and methodology.
參考文獻 中文參考文獻
1. 張大元(1999)，個人健康風險評估運用在職業衛生計畫之研究，台灣大學職業醫學與工業衛生研究所碩士論文。
2. 黎文琪(2001)，智慧型臨床醫囑輔助系統之開發，國立陽明大學，公共衛生研究所
3. 姚志成(2004)，運用資料探勘技術建構脂肪肝預測模式，中原大學資訊管理研究所碩士論文。
4. 楊懷壹(2005)，B型肝炎病毒因子與肝癌肝硬化之流行病學研究，台灣大學流行病學研究所博士論文。
5. 林富美(2003)，行動代理程式在健康保健的應用，淡江大學資訊工程學所碩士論文。
6. 何維嘉(2002)，消費者選擇健康檢查機構因素之探討，臺北醫學大學醫務管理學系研究所碩士論文。
專業書籍
7. 陳禹辰、歐陽崇榮，決策支援與專家系統，全華科技圖書公司，台北，第75-81 頁，民國77年。
8. 余千智，整合性專家決策支援系統之建構方法與管理決策應用研究，華泰，民國 80年。
9. 黃治雄，健康檢查正常值異常值，浩園文化，民國 85年。
10. 稻富惠子，輕鬆解讀醫院檢查報告，臺灣實業，民國85年。
11. 奈良信雄，怎樣做好全身健康檢查，林鬱出版，民國91年。
12. 吉濟華，常見的檢查與其正常值解析，合記，民國93年。
13. 李明亮編，2003全國衛生醫療政策會議—總結報告書，國家衛生研究院，民國93年。
14. 鄭維理，健康檢查全書，商周出版，民國94年。
中文期刊
15. 郭冠良、陳建志、林光洋、傅楸善，「健檢資訊系統實務－臺北市立聯合醫院仁愛院區經驗」，北市醫學雜誌，第8卷第6期，民國93年，頁755-765。
16. 張德明、吳芳楨、 劉淑芬，「以模糊推論建構營養膳食諮詢系統中配菜功能」，中華民國營養學會雜誌，第29卷第1期，民國93年，頁59-71。
17. 洪建德、王斐斐，「電腦輔助營養諮詢」，中華民國營養學會雜誌，17卷1&2期，頁59-71。
18. 蔡文正、龔佩珍，「民眾對基層診所評價與就醫選擇影響因素」，台灣公共衛生雜誌，22卷3期，頁181-193。
19. 張德明、吳芳楨、 劉淑芬，「以模糊推論建構營養膳食諮詢系統中配菜功能」，中華民國營養學會雜誌，第29卷第1期，民國93年，頁59-71。
20. 鍾正康，「為自已設計一個運動處方」，竹師體育，第2卷，民國92年，
頁22-28。
21. 黃永任，「健康成年人的運動處方」，中華體育,第12卷第2期，民國87年，頁53-60。
22. 林怡秀、王顯智，「健康促進之健康風險評估」，大專體育，63期，民國91年，頁159-164。
23. 王英偉，「成人週期健康表之應用」 慈濟醫學雜誌，第1卷第3期，民國78年，頁49-52。
英文文獻
1. Anderson, K. M., Odell, P. M., Wilson, P. W., & Kannel, W. B. (1991). Cardiovascular disease risk profiles. American Heart Journal, 121(1 Pt 2), 293-298.
2. Bach, P. B., Kattan, M. W., Thornquist, M. D., Kris, M. G., Tate, R. C., Barnett, M. J., et al. (2003). Variations in lung cancer risk among smokers. Journal of the National Cancer Institute, 95(6), 470-478.
3. Cimino, J. J., Patel, V. L., & Kushniruk, A. W. (2002). The patient clinical information system (PatCIS): Technical solutions for and experience with giving patients access to their electronic medical records. International journal of medical informatics, 68(1), 113-127.
4. Colditz, G. A., & Rosner, B. (2000). Cumulative risk of breast cancer to age 70 years according to risk factor status: Data from the nurses` health study. American Journal of Epidemiology, 152(10), 950.
5. Colditz, G., Atwood, K., Emmons, K., Monson, R., Willett, W., Trichopoulos, D., et al. (2000). Harvard report on cancer prevention volume 4: Harvard cancer risk index. Cancer Causes and Control, 11(6), 477-488.
6. Deber, R. B., Kraetschmer, N., & Irvine, J. (1996). What role do patients wish to play in treatment decision making? Archives of Internal Medicine, 156(13), 1414-1420.
7. Delaney, B. C., Fitzmaurice, D. A., Riaz, A., & Hobbs, F. D. (1999). Can computerised decision support systems deliver improved quality in primary care?. interview by abi berger. BMJ (Clinical research ed.), 319(7220), 1281.
8. Douketis, J. D., Feightner, J. W., Attia, J., & Feldman, W. F. (1999). Periodic health examination, 1999 update: 1. detection, prevention and treatment of obesity. Canadian Medical Association.Journal, 160(4), 513.
9. Dubey, V., Mathew, R., Iglar, K., Moineddin, R., & Glazier, R. (2006). Improving preventive service delivery at adult complete health check-ups: The preventive health evidence-based recommendation form (PERFORM) cluster randomized controlled trial. BMC family practice, 7, 44.
10. Emmons, K. M., Koch-Weser, S., Atwood, K., Conboy, L., Rudd, R., & Colditz, G. (1999). A qualitative evaluation of the harvard cancer risk index. Journal of health communication, 4(3), 181-193.
11. Freedman, A. N., Seminara, D., Gail, M. H., Hartge, P., Colditz, G. A., Ballard-Barbash, R., et al. (2005). Cancer risk prediction models: A workshop on development, evaluation, and application. Journal of the National Cancer Institute, 97(10), 715-723.
12. Garg, A. X., Adhikari, N. K., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., et al. (2005). Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: A systematic review. JAMA, 293(10), 1223-1238.
13. Gómez, E., Cáceres, C., López, D., & Del Pozo, F. (2002). A web-based self-monitoring system for people living with HIV/AIDS. Computer methods and programs in biomedicine, 69(1), 75-86.
14. Hripcsak, G., Cimino, J. J., & Sengupta, S. (1999). WebCIS: Large scale deployment of a web-based clinical information system. AMIA Symposium, , 804-808.
15. Kannel, W. B., McGee, D., & Gordon, T. (1976). A general cardiovascular risk profile: The framingham study. The American Journal of Cardiology, 38(1), 46-51.
16. Kim, M. I., & Johnson, K. B. (2002). Personal health records: Evaluation of functionality and utility. Journal of the American Medical Informatics Association, 9(2), 171-180.
17. Kohlmeier, L., Mendez, M., McDuffie, J., & Miller, M. (1997). Computer-assisted self-interviewing: A multimedia approach to dietary assessment. The American Journal of Clinical Nutrition, 65(4 Suppl), 1275S-1281S.
18. Kuo, Y. F., & Chen, L. S. (2001). Personalization technology application to internet content provider. Expert Systems with Applications, 21(4), 203-215.
19. Kwon, O., Yoo, K., & Suh, E. (2005). UbiDSS: A proactive intelligent decision support system as an expert system deploying ubiquitous computing technologies. Expert Systems with Applications, 28(1), 149-161.
20. Kwon, O., Yoo, K., & Suh, E. (2005). UbiDSS: A proactive intelligent decision support system as an expert system deploying ubiquitous computing technologies. Expert Systems with Applications, 28(1), 149-161.
21. Lin, J. W., Chu, P. L., Liou, J. M., & Hwang, J. J. (2007). Applying a multiple screening program aided by a guideline-driven computerized decision support system - a pilot experience in yun-lin, taiwan. Journal of the Formosan Medical Association, 106(1), 58-68.
22. McCormack, J. P., Levine, M., & Rangno, R. E. (1997). Primary prevention of heart disease and stroke: A simplified approach to estimating risk of events and making drug treatment decisions.Canadian Medical Association journal, 157(4), 422-428.
23. Mendonca, E. A. (2004). Clinical decision support systems: Perspectives in dentistry. Journal of dental education; Journal of dental education, 68(6), 589-597.
24. Mendonca, E. A. (2004). Clinical decision support systems: Perspectives in dentistry. Journal of dental education, 68(6), 589-597.
25. Milone, S. D., & Milone, S. L. (2006). Evidence-based periodic health examination of adults. memory aid for primary care physicians. Canadian family physician Medecin de famille canadien, 52, 40-47.
26. Mulvenna, M. D., Anand, S. S., & Büchner, A. G. (2000). Personalization on the net using web mining: Introduction. Communications of the ACM, 43(8), 122-125.
27. Oosterhuis, W. P., Ulenkate, H. J., & Goldschmidt, H. M. (2000). Evaluation of LabRespond, a new automated validation system for clinical laboratory test results. Clinical chemistry, 46(11), 1811-1817.
28. Phillips, K. A. (2006). Personalized medicine for colorectal & breast cancer. Retrieved June 30, 2007, from the Pharmacogenetics and Pharmacogenomics Knowledge Base Website: http://www.pharmgkb.org/views/project.jsp?pId=52.
29. Rashbass, J. (2001). The patient-owned, population-based electronic medical record: A revolutionary resource for clinical medicine. JAMA, 285, 1769.
30. Regeniter, A., Siede, W. H., & Seiffert, U. B. (1996). Computer assisted interpretation of laboratory test data with `MDI-LabLink`. Clinica chimica acta;
international journal of clinical chemistry, 248(1), 107-118.
31. Rockhill, B., Byrne, C., Rosner, B., Louie, M. M., & Colditz, G. (2003). Breast cancer risk prediction with a log-incidence model: Evaluation of accuracy. Journal of clinical epidemiology, 56(9), 856-861.
32. Saadé, R. G., Tsoukas, A., & Tsoukas, G. (2004). Prototyping a decision support system in the clinical environment: Assessment of patients with osteoporosis OSTEODSS. Expert Systems with Applications, 27(3), 427-438.
33. Smith, A. E., Nugent, C. D., & McClean, S. I. (2002). Implementation of intelligent decision support systems in health care. Journal of management in medicine, 16(2/3), 206-218.
34. Sprague Jr, R. H., & Carlson, E. D. (1982). Building effective decision support systems Prentice Hall Professional Technical Reference.
35. Tange, H., Van Der Linden, H., Sas, P., Beusmans, G., Talmon, J., Van Oosterhout, E., et al. (2003). Towards a PropeR combination of patient records and protocols. Int.J.Med.Inform., 70(2-3), 141-148.
36. Turban, E., & Watkins, P. R. (1986). Integrating expert systems and decision support systems. MIS Quarterly, 10(2), 121-136.
37. Van Hoof, V., Wormek, A., Schleutermann, S., Schumacher, T., Lothaire, O., & Trendelenburg, C. (2004). Medical expert systems developed in j.MD, a java based expert system shell: Application in clinical laboratories. Medinfo, 11(Pt 1), 89-93.
38. Wang, L. Y., You, S. L., Lu, S. N., Ho, H. C., Wu, M. H., Sun, C. A., et al. (2003). Risk of hepatocellular carcinoma and habits of alcohol drinking, betel quid chewing and cigarette smoking: A cohort of 2416 HBsAg-seropositive and 9421 HBsAg-seronegative male residents in taiwan. Cancer Causes and Control, 14(3), 241-250.
39. Wilson, P. W., D`Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998). Prediction of coronary heart disease using risk factor categories. Circulation, 97(18), 1837-1847.
40. Woolf, S. H., Battista, R. N., Anderson, G. M., Logan, A. G., & Wang, E. (1990). Assessing the clinical effectiveness of preventive maneuvers: Analytic principles and systematic methods in reviewing evidence and developing clinical practice
recommendations. A report by the canadian task force on the periodic health examination. Journal of clinical epidemiology, 43(9), 891-905.
41. Yang, H. I., Lu, S. N., Liaw, Y. F., You, S. L., Sun, C. A., Wang, L. Y., et al. (2002). Hepatitis B e antigen and the risk of hepatocellular carcinoma. The New England journal of medicine, 347(3), 168-174.
42. Zopounidis, C., Doumpos, M., & Matsatsinis, N. (1997). On the use of knowledge-based decision support systems in financial management: A survey. Decision Support Systems, 20(3), 259-277.
描述 碩士
國立政治大學
資訊管理研究所
93356007
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0933560072
資料類型 thesis
dc.contributor.advisor 余千智zh_TW
dc.contributor.author (Authors) 龔文亮zh_TW
dc.creator (作者) 龔文亮zh_TW
dc.date (日期) 2007en_US
dc.date.accessioned 1-Sep-2015 16:10:40 (UTC+8)-
dc.date.available 1-Sep-2015 16:10:40 (UTC+8)-
dc.date.issued (上傳時間) 1-Sep-2015 16:10:40 (UTC+8)-
dc.identifier (Other Identifiers) G0933560072en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/78061-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 93356007zh_TW
dc.description.abstract (摘要) 近年來，產、官、學界逐漸重視民眾健康資訊的管理與應用，加上消費者自主意識的提高，促使醫院加速進行醫療資訊化，以提升醫療品質及效率，同時滿足就醫者對醫療相關資訊與決策支援的需求。此外，網際網路技術的快速發展、健康保健觀念及醫療資訊政策普及化所帶來的影響，也使得提供線上即時、個人化、智慧型的健檢決策支援系統，成為了一個關鍵的研究與實務應用課題。目前大多數的健康檢查中心因主、客觀的限制，只能提供就醫者套餐式健檢組合，供就醫者作為健康檢查參考。依醫者雖可選擇健檢服務客製化模式，就個人需要或喜好增減檢查項目，但仍無法滿足個人化健檢服務需求，亦即得到專業推薦且符合個人差異與需要的個人化健檢組合方案。再者，過去的健檢系統除缺乏個人化健檢推薦功能，對於個人保健建議及後續就醫服務等亦缺乏整合性服務。而以往醫療資訊化過程中，因缺乏醫療資訊標準格式之發展，也限制醫療資訊在院所間之交換與流通，造成整合性醫療服務的困難。面對上述醫療資訊不對稱及個人化保健與醫療系統支援環境缺乏的困難，整合資料、模式及知識技術的個人化智慧型健檢決策支援系統，成為一個可行且重要的解決方法。由於此課題在文獻上缺乏具體成果，本研究的目的即在提出一個全球資訊網環境中個人化智慧型健檢決策支援系統 (Personalized Intelligent Decision Support System for Health Examination, PIDSSHE)的架構及流程，系統功能著重於個人化健檢、保健及醫療等方案的推薦，以及智慧型輔助診斷和即時性醫療資訊交換等。本論文也將提出系統發展方法並建置原型系統，以驗證架構、流程及方法的可行性與效益。zh_TW
dc.description.abstract (摘要) In recent years, the health industry, the government as well as the academic area pay more attention to the people’s health information management and applications. Due to the promotion of consumer health information, the proliferation of Internet, the awareness of healthcare, and the policy of mdical care information, how to provide online personalized intelligent healthcare decision support systems becomes an critical academic and applied research issue. Most health exam centers only offer health exam packages to the patients due to subjective or objective restrictions. Even the patients may customize their health exams by adding or dropping certain health exam items, it does not meet the needs of personalized health exam recommendation based on individual differences and personal needs. Moreover, there are no integrated services for follow-up personalized clinical care recommendations. The exchanges of medical information between hospitals are limited due to the lacks of medical information exchange standards. In turn, it leads to the gaps of integrated medical services. Facing the medical information assymetry and the difficulties of current medical supporting environment, an intelligent decision support system for personalized healthcare based on the integration of data, models, and knowledge is a feasible and important solution. To fill the research gaps, our research proposes a web-based intelligent decision support system for personalized health care. To fill the research gaps, our research is to propose the system architecture and processes of a Web-based intelligent decision support systems for personalized healthcare. We also illustrate our system development methodology as well as our prototype to validate the feasibility and effectiveness of our system architecture, processes and methodology.en_US
dc.description.tableofcontents 第一章 緒論
第一節 研究背景 ------------------------------------------01
第二節 研究動機與目的 -------------------------------------02
第三節 研究架構 ------------------------------------------04
第四節 研究方法 ------------------------------------------05
第五節 研究流程 ------------------------------------------06
第二章 文獻探討
第一節 個人醫療研究 ---------------------------------------07
第二節 個人健檢模式及法則 ---------------------------------10
第三節 決策支援系統研究 -----------------------------------17
第三章 個人化智慧型健檢決策支援
第一節 個人化智慧型健檢決策支援流程與功能 -----------------21
第二節 個人化智慧型健檢決策支援系統決策 -------------------28
第三節 個人化智慧型健檢決策支援資料系統 -------------------32
第四節 個人化智慧型健檢決策支援模式需式 -------------------38
第五節 個人化智慧型健康檢查之知識需求----------------------54
第四章 個人化智慧型健檢決策支援系統發展
第一節 個人化智慧型健檢決策支援系統之觀念架構 -------------65
第二節 個人化智慧型健檢決策支援系統發展流程 ---------------73
第三節 個人化智慧型健檢決策支援系統發展 -------------------76
第五章 個人化智慧型健檢決策支援系統原型系統建置
第一節 原型系統建置環境介紹 -------------------------------96
第二節 原型系統功能與成果 ---------------------------------96
第三節 原型系統評估 --------------------------------------102
第五章 結論與未來發展方向
第一節 結論 ----------------------------------------------104
第二節 未來發展方向---------------------------------------105
參考文獻
圖目錄
圖1-1台灣健康醫療資源分配與健康預防級數之百分比---------------02
圖1-2研究架構-------------------------------------------------04
圖1-3研究流程-------------------------------------------------06
圖2-1民眾醫療及預防保健服務之利用情形-------------------------10
圖2-2醫療決策支援架構-----------------------------------------18
圖2-3整合性專家決策支援系統觀念架構---------------------------19
圖3-1個人化智慧型健檢決策支援系統之功能架構-------------------22
圖3-2個人化智慧型健檢決策支援流程-----------------------------23
圖3-3個人推薦流程圖-------------------------------------------25
圖3-4檢驗報告判讀流程圖---------------------------------------26
圖3-5個人保健醫療流程圖---------------------------------------27
圖3-6個人風險評估決策-----------------------------------------28
圖3-7個人健檢決策---------------------------------------------29
圖3-8檢驗判讀報告決策-----------------------------------------30
圖3-9個人保健醫療決-------------------------------------------31
圖3-10個人化智慧型健檢之資料需求------------------------------33
圖3-11冠心病罹病風險模式--------------------------------------38
圖3-12肝癌罹癌機率模式----------------------------------------41
圖3-13肺癌罹癌機率模式----------------------------------------43
圖3-14心血管罹病機率模式--------------------------------------45
圖3-15腦血管罹病機率模式--------------------------------------48
圖3-16乳癌多重因子評估模式-------------------------------------51
圖4-1慢性病及癌症罹病機率預測模式-----------------------------62
圖4-2個人保健建議各單元關係-----------------------------------62
圖4-3法則庫各單元關係-----------------------------------------68
圖4-4個人健檢推薦程序圖---------------------------------------69
圖4-5檢驗報告判讀程序-----------------------------------------70
圖4-6個人保健醫療程序-----------------------------------------71
圖4-7個人化智慧型健檢決策支援系統架構-------------------------72
圖4-8個人化智慧型健檢決策支援系統概念架構---------------------73
圖4-9選擇個人健檢_系統推薦------------------------------------78
圖4-10選擇個人健檢_選擇套餐-----------------------------------78
圖4-11選擇個人健檢_自訂健檢-----------------------------------79
圖4-12活動圖-選擇個人健檢_評估國人健康------------------------81
圖4-13循序圖_選擇個人健檢_評估國人健康 -----------------------82
圖4-14物件圖、合作圖、類別圖_選擇個人健檢_評估國人健康----------83
圖4-15活動圖_選擇個人健檢_評估癌症風險------------------------85
圖4-16循序圖_選擇個人健檢_評估癌症風險------------------------86
圖4-17物件圖、合作圖、類別圖_選擇個人健檢_評估癌症風險---------87
圖4-18活動圖_選擇個人健檢_使用週期健檢------------------------89
圖4-19循序圖_選擇個人健檢_使用週期健檢------------------------90
圖4-20物件圖、合作圖、類別圖_選擇個人健檢_使用週期健檢---------91 圖4-21活動圖_選擇個人健檢_建議健檢方案------------------------93 圖4-22循序圖_選擇個人健檢_建議健檢方案------------------------94
圖4-23個人化智慧型決策支援系統之部分元件圖--------------------95
圖4-24個人化智慧型決策支援系統之部署圖------------------------95
圖5-1個人基本資料蒐集-----------------------------------------96
圖5-2個人偏好資料蒐集-----------------------------------------97
圖5-3慢性病及癌症罹病風險種類選擇-----------------------------97
圖5-4慢性病及癌症罹病之推薦結果-------------------------------98
圖5-5週期性健檢之推薦結果-------------------------------------98
圖5-6檢驗項目判讀結果-----------------------------------------99
圖5-7醫療建議方案結果-----------------------------------------99
圖5-8個人保健建議--------------------------------------------100 圖5-9運動處方建議--------------------------------------------100 圖5-10營養保健建議-------------------------------------------101 圖5-11就診資訊媒合-------------------------------------------101
表目錄
表2-1健康檢查項目整理---------------------------------------------11
表2-2國人高危險癌症風險預測模式-----------------------------------13
表3-1受檢基本資料表-----------------------------------------------33
表3-2個人及家庭病史表-----------------------------------------------34
表3-3生活習慣資料表-----------------------------------------------35
表3-4過去檢驗資料表-------------------------------------------------36
表3-5婦女專區資料表-----------------------------------------------37
表3-6罹患癌症或慢性病風險機率模式---------------------------------38
表3-7冠心病危險因子係數表-----------------------------------------39
表3-8肝癌危險因子對應表-------------------------------------------41
表3-9肝癌罹癌機率對應表-------------------------------------------42
表3-10心血管疾病危險因子對應表------------------------------------45
表3-11心血管罹病機率對應表----------------------------------------47
表3-12腦血管疾病危險因子係數表------------------------------------48
表3-13腦血管罹病機率對應表----------------------------------------49
表3-14乳癌危險因子對應表------------------------------------------51
表3-15運動熱量表--------------------------------------------------53
表3-16身體質量指數及腰圍判讀法則----------------------------------62
表3-17 ACSM的運動檢視問卷-----------------------------------------62
表4-1應用UML圖表於階段系統開發之程序說明-------------------------74
表4-2事件表-------------------------------------------------------77
表4-3使用案例說明＿選擇個人健檢_評估國人健康----------------------80
表4-4使用案例說明＿選擇個人健檢_評估癌症風險----------------------84
表4-5使用案例說明＿選擇個人健檢_使用週期健檢----------------------88
表4-6使用案例說明＿選擇個人健檢_建議健檢方案----------------------92
表 5-1 PIDSSHE 原型系統與各大醫療院所及健檢中心之功能比較---------102		zh_TW
dc.format.extent 48199 bytes-
dc.format.extent 64471 bytes-
dc.format.extent 77313 bytes-
dc.format.extent 105780 bytes-
dc.format.extent 129990 bytes-
dc.format.extent 268289 bytes-
dc.format.extent 481980 bytes-
dc.format.extent 589933 bytes-
dc.format.extent 1640590 bytes-
dc.format.extent 104900 bytes-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0933560072en_US
dc.subject (關鍵詞) 智慧型決策支援系統zh_TW
dc.subject (關鍵詞) 個人化健檢zh_TW
dc.subject (關鍵詞) 保健醫療zh_TW
dc.title (題名) 個人化智慧型健檢決策支援系統zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 中文參考文獻
1. 張大元(1999)，個人健康風險評估運用在職業衛生計畫之研究，台灣大學職業醫學與工業衛生研究所碩士論文。
2. 黎文琪(2001)，智慧型臨床醫囑輔助系統之開發，國立陽明大學，公共衛生研究所
3. 姚志成(2004)，運用資料探勘技術建構脂肪肝預測模式，中原大學資訊管理研究所碩士論文。
4. 楊懷壹(2005)，B型肝炎病毒因子與肝癌肝硬化之流行病學研究，台灣大學流行病學研究所博士論文。
5. 林富美(2003)，行動代理程式在健康保健的應用，淡江大學資訊工程學所碩士論文。
6. 何維嘉(2002)，消費者選擇健康檢查機構因素之探討，臺北醫學大學醫務管理學系研究所碩士論文。
專業書籍
7. 陳禹辰、歐陽崇榮，決策支援與專家系統，全華科技圖書公司，台北，第75-81 頁，民國77年。
8. 余千智，整合性專家決策支援系統之建構方法與管理決策應用研究，華泰，民國 80年。
9. 黃治雄，健康檢查正常值異常值，浩園文化，民國 85年。
10. 稻富惠子，輕鬆解讀醫院檢查報告，臺灣實業，民國85年。
11. 奈良信雄，怎樣做好全身健康檢查，林鬱出版，民國91年。
12. 吉濟華，常見的檢查與其正常值解析，合記，民國93年。
13. 李明亮編，2003全國衛生醫療政策會議—總結報告書，國家衛生研究院，民國93年。
14. 鄭維理，健康檢查全書，商周出版，民國94年。
中文期刊
15. 郭冠良、陳建志、林光洋、傅楸善，「健檢資訊系統實務－臺北市立聯合醫院仁愛院區經驗」，北市醫學雜誌，第8卷第6期，民國93年，頁755-765。
16. 張德明、吳芳楨、 劉淑芬，「以模糊推論建構營養膳食諮詢系統中配菜功能」，中華民國營養學會雜誌，第29卷第1期，民國93年，頁59-71。
17. 洪建德、王斐斐，「電腦輔助營養諮詢」，中華民國營養學會雜誌，17卷1&2期，頁59-71。
18. 蔡文正、龔佩珍，「民眾對基層診所評價與就醫選擇影響因素」，台灣公共衛生雜誌，22卷3期，頁181-193。
19. 張德明、吳芳楨、 劉淑芬，「以模糊推論建構營養膳食諮詢系統中配菜功能」，中華民國營養學會雜誌，第29卷第1期，民國93年，頁59-71。
20. 鍾正康，「為自已設計一個運動處方」，竹師體育，第2卷，民國92年，
頁22-28。
21. 黃永任，「健康成年人的運動處方」，中華體育,第12卷第2期，民國87年，頁53-60。
22. 林怡秀、王顯智，「健康促進之健康風險評估」，大專體育，63期，民國91年，頁159-164。
23. 王英偉，「成人週期健康表之應用」 慈濟醫學雜誌，第1卷第3期，民國78年，頁49-52。
英文文獻
1. Anderson, K. M., Odell, P. M., Wilson, P. W., & Kannel, W. B. (1991). Cardiovascular disease risk profiles. American Heart Journal, 121(1 Pt 2), 293-298.
2. Bach, P. B., Kattan, M. W., Thornquist, M. D., Kris, M. G., Tate, R. C., Barnett, M. J., et al. (2003). Variations in lung cancer risk among smokers. Journal of the National Cancer Institute, 95(6), 470-478.
3. Cimino, J. J., Patel, V. L., & Kushniruk, A. W. (2002). The patient clinical information system (PatCIS): Technical solutions for and experience with giving patients access to their electronic medical records. International journal of medical informatics, 68(1), 113-127.
4. Colditz, G. A., & Rosner, B. (2000). Cumulative risk of breast cancer to age 70 years according to risk factor status: Data from the nurses` health study. American Journal of Epidemiology, 152(10), 950.
5. Colditz, G., Atwood, K., Emmons, K., Monson, R., Willett, W., Trichopoulos, D., et al. (2000). Harvard report on cancer prevention volume 4: Harvard cancer risk index. Cancer Causes and Control, 11(6), 477-488.
6. Deber, R. B., Kraetschmer, N., & Irvine, J. (1996). What role do patients wish to play in treatment decision making? Archives of Internal Medicine, 156(13), 1414-1420.
7. Delaney, B. C., Fitzmaurice, D. A., Riaz, A., & Hobbs, F. D. (1999). Can computerised decision support systems deliver improved quality in primary care?. interview by abi berger. BMJ (Clinical research ed.), 319(7220), 1281.
8. Douketis, J. D., Feightner, J. W., Attia, J., & Feldman, W. F. (1999). Periodic health examination, 1999 update: 1. detection, prevention and treatment of obesity. Canadian Medical Association.Journal, 160(4), 513.
9. Dubey, V., Mathew, R., Iglar, K., Moineddin, R., & Glazier, R. (2006). Improving preventive service delivery at adult complete health check-ups: The preventive health evidence-based recommendation form (PERFORM) cluster randomized controlled trial. BMC family practice, 7, 44.
10. Emmons, K. M., Koch-Weser, S., Atwood, K., Conboy, L., Rudd, R., & Colditz, G. (1999). A qualitative evaluation of the harvard cancer risk index. Journal of health communication, 4(3), 181-193.
11. Freedman, A. N., Seminara, D., Gail, M. H., Hartge, P., Colditz, G. A., Ballard-Barbash, R., et al. (2005). Cancer risk prediction models: A workshop on development, evaluation, and application. Journal of the National Cancer Institute, 97(10), 715-723.
12. Garg, A. X., Adhikari, N. K., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., et al. (2005). Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: A systematic review. JAMA, 293(10), 1223-1238.
13. Gómez, E., Cáceres, C., López, D., & Del Pozo, F. (2002). A web-based self-monitoring system for people living with HIV/AIDS. Computer methods and programs in biomedicine, 69(1), 75-86.
14. Hripcsak, G., Cimino, J. J., & Sengupta, S. (1999). WebCIS: Large scale deployment of a web-based clinical information system. AMIA Symposium, , 804-808.
15. Kannel, W. B., McGee, D., & Gordon, T. (1976). A general cardiovascular risk profile: The framingham study. The American Journal of Cardiology, 38(1), 46-51.
16. Kim, M. I., & Johnson, K. B. (2002). Personal health records: Evaluation of functionality and utility. Journal of the American Medical Informatics Association, 9(2), 171-180.
17. Kohlmeier, L., Mendez, M., McDuffie, J., & Miller, M. (1997). Computer-assisted self-interviewing: A multimedia approach to dietary assessment. The American Journal of Clinical Nutrition, 65(4 Suppl), 1275S-1281S.
18. Kuo, Y. F., & Chen, L. S. (2001). Personalization technology application to internet content provider. Expert Systems with Applications, 21(4), 203-215.
19. Kwon, O., Yoo, K., & Suh, E. (2005). UbiDSS: A proactive intelligent decision support system as an expert system deploying ubiquitous computing technologies. Expert Systems with Applications, 28(1), 149-161.
20. Kwon, O., Yoo, K., & Suh, E. (2005). UbiDSS: A proactive intelligent decision support system as an expert system deploying ubiquitous computing technologies. Expert Systems with Applications, 28(1), 149-161.
21. Lin, J. W., Chu, P. L., Liou, J. M., & Hwang, J. J. (2007). Applying a multiple screening program aided by a guideline-driven computerized decision support system - a pilot experience in yun-lin, taiwan. Journal of the Formosan Medical Association, 106(1), 58-68.
22. McCormack, J. P., Levine, M., & Rangno, R. E. (1997). Primary prevention of heart disease and stroke: A simplified approach to estimating risk of events and making drug treatment decisions.Canadian Medical Association journal, 157(4), 422-428.
23. Mendonca, E. A. (2004). Clinical decision support systems: Perspectives in dentistry. Journal of dental education; Journal of dental education, 68(6), 589-597.
24. Mendonca, E. A. (2004). Clinical decision support systems: Perspectives in dentistry. Journal of dental education, 68(6), 589-597.
25. Milone, S. D., & Milone, S. L. (2006). Evidence-based periodic health examination of adults. memory aid for primary care physicians. Canadian family physician Medecin de famille canadien, 52, 40-47.
26. Mulvenna, M. D., Anand, S. S., & Büchner, A. G. (2000). Personalization on the net using web mining: Introduction. Communications of the ACM, 43(8), 122-125.
27. Oosterhuis, W. P., Ulenkate, H. J., & Goldschmidt, H. M. (2000). Evaluation of LabRespond, a new automated validation system for clinical laboratory test results. Clinical chemistry, 46(11), 1811-1817.
28. Phillips, K. A. (2006). Personalized medicine for colorectal & breast cancer. Retrieved June 30, 2007, from the Pharmacogenetics and Pharmacogenomics Knowledge Base Website: http://www.pharmgkb.org/views/project.jsp?pId=52.
29. Rashbass, J. (2001). The patient-owned, population-based electronic medical record: A revolutionary resource for clinical medicine. JAMA, 285, 1769.
30. Regeniter, A., Siede, W. H., & Seiffert, U. B. (1996). Computer assisted interpretation of laboratory test data with `MDI-LabLink`. Clinica chimica acta;
international journal of clinical chemistry, 248(1), 107-118.
31. Rockhill, B., Byrne, C., Rosner, B., Louie, M. M., & Colditz, G. (2003). Breast cancer risk prediction with a log-incidence model: Evaluation of accuracy. Journal of clinical epidemiology, 56(9), 856-861.
32. Saadé, R. G., Tsoukas, A., & Tsoukas, G. (2004). Prototyping a decision support system in the clinical environment: Assessment of patients with osteoporosis OSTEODSS. Expert Systems with Applications, 27(3), 427-438.
33. Smith, A. E., Nugent, C. D., & McClean, S. I. (2002). Implementation of intelligent decision support systems in health care. Journal of management in medicine, 16(2/3), 206-218.
34. Sprague Jr, R. H., & Carlson, E. D. (1982). Building effective decision support systems Prentice Hall Professional Technical Reference.
35. Tange, H., Van Der Linden, H., Sas, P., Beusmans, G., Talmon, J., Van Oosterhout, E., et al. (2003). Towards a PropeR combination of patient records and protocols. Int.J.Med.Inform., 70(2-3), 141-148.
36. Turban, E., & Watkins, P. R. (1986). Integrating expert systems and decision support systems. MIS Quarterly, 10(2), 121-136.
37. Van Hoof, V., Wormek, A., Schleutermann, S., Schumacher, T., Lothaire, O., & Trendelenburg, C. (2004). Medical expert systems developed in j.MD, a java based expert system shell: Application in clinical laboratories. Medinfo, 11(Pt 1), 89-93.
38. Wang, L. Y., You, S. L., Lu, S. N., Ho, H. C., Wu, M. H., Sun, C. A., et al. (2003). Risk of hepatocellular carcinoma and habits of alcohol drinking, betel quid chewing and cigarette smoking: A cohort of 2416 HBsAg-seropositive and 9421 HBsAg-seronegative male residents in taiwan. Cancer Causes and Control, 14(3), 241-250.
39. Wilson, P. W., D`Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998). Prediction of coronary heart disease using risk factor categories. Circulation, 97(18), 1837-1847.
40. Woolf, S. H., Battista, R. N., Anderson, G. M., Logan, A. G., & Wang, E. (1990). Assessing the clinical effectiveness of preventive maneuvers: Analytic principles and systematic methods in reviewing evidence and developing clinical practice
recommendations. A report by the canadian task force on the periodic health examination. Journal of clinical epidemiology, 43(9), 891-905.
41. Yang, H. I., Lu, S. N., Liaw, Y. F., You, S. L., Sun, C. A., Wang, L. Y., et al. (2002). Hepatitis B e antigen and the risk of hepatocellular carcinoma. The New England journal of medicine, 347(3), 168-174.
42. Zopounidis, C., Doumpos, M., & Matsatsinis, N. (1997). On the use of knowledge-based decision support systems in financial management: A survey. Decision Support Systems, 20(3), 259-277.		zh_TW