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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 生物機電工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15688
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dc.contributor.advisor張森富(Sen-Fuh Chang)
dc.contributor.authorChun-Cheng Hungen
dc.contributor.author洪濬成zh_TW
dc.date.accessioned2021-06-07T17:50:04Z-
dc.date.copyright2013-02-01
dc.date.issued2013
dc.date.submitted2013-01-18
dc.identifier.citation1.吳仁和、林信惠。2010。系統分析與設計理論與實務應用。第五版。台北。智勝文化事業有限公司。
2.李友專、劉立、邱文達。1997。醫學診斷決策支援系統。台灣醫學 1(6):722-726。
3.李友專、劉立。1997。網際網路在醫學上之應用。台灣醫學 1(6):727-732。
4.林中天。2004。犬貓乾眼症及常見眼科異常症狀之鑑別診斷。初版。台北。藝軒出版社。
5.林中天。2007。實用犬貓眼睛疾病與保健手冊。初版。台北。藝軒出版社。
6.林政毅。2000。小動物眼科學。第二版。台北。藝軒出版社。
7.洪濬成、張森富、林中天。2010。犬眼疾病線上診斷專家系統之開發。台灣農學會報 11(6):623-634。
8.葉怡成、郭耀煌。1991。專家系統方法應用與實作。初版。台北。全欣資訊圖書股份有限公司。
9.盛乙宮。2000。豬隻疾病查詢與初步診斷決策支援系統。碩士論文。國立中興大學畜產學系。
10.張雁智。2003。雞病線上查詢與初步診斷決策支援系統。碩士論文。國立中興大學畜產學系。
11.郭振宗。2000。微生物類別診斷與抗生素用藥決策支援系統。碩士論文。國立屏東科技大學資訊管理研究系。
12.曾憲雄、黃國禎。2005。人工智慧與專家系統-理論.實務.應用。初版。台北。旗標出版股份有限公司。
13.劉振軒、林永昌、林中天、楊清文。2001。犬疾病診斷與防治。初版。台北。行政院農委會動植物防疫檢疫局。
14.薛宏昇。2000。皮膚病理非感染性全身性水泡病診斷決策支援系統。碩士論文。私立台北醫學院醫學資訊研究所。
15.Aikins, J. S., J. C. Kuns, E. H. Shortliffe and R. J. Fallat. 1983. PUFF: An Expert System for Interpretation of Pulmonary Function Data. Comput. Biomed. Res. Vol.16, 199-208.
16.Bruce, G. B., Richard, O. D. 1982. Principles of rule-based expert systems. Technical Report:CS-TR-82-926. Stanford. CA. USA.
17.Bradley, J. C., Millspaugh, A. C. 2003. Programming in Visual Basic .Net. McGraw-Hill College.
18.David, R.1979. Interactive transfer of expertise: Acquisition of new inference rules. AI. Vol.12, 121-157.
19.David, W. R. 1988. Principles of Artificial Intelligence and Expert Systems Development. McGraw-Hill international editions.
20.Donald, A. W. 1989. A Guide to Expert Systems. The South Book Company.
21.Gelatt, Kirk N. 2000. Essentials of Veterinary Ophthalmology. Lippincott Williams & Wilkins Co. Ltd.
22.Ho, C. C. 2000. Small Animal Medicine, 1st ed. Taipei. Yi Hsien Publishing Co.
23.Knight, B., Mitchell, A., Green. D., Hinson D., Kellenberger, K. 2007. Professional SQL Server 2005. John Wiley & Sons Inc.
24.Kumar, K. A., Singh, Y., Sanyal, S. 2009. Hybrid approach using case-based reasoning and rule-based reasoning for domain independent clinical decision support in ICU. Expert. Syst. Appl. 36, 65-71.
25.Parsons, A., Randolph, N. 2006. Professional Visual Studio 2005. John Wiley & Sons Inc.
26.Ravi, S. S., Edward, J. C., Hal, L. F., Charles, E. Y. 1996. Role-based Access Control Models. IEEE Comput., 29(2), 38-47.
27.Robert, L. P. Jr. and Simon, M. P. 2001. Small Animal Ophthalmology. London. W.B. Saunders Co. Ltd.
28.Shortliffe, E. H. 1976.Computer-Based Medical Consultations: MYCIN. New York: American-Elsevier.
29.Shaw, M. L. G.1980. On Becoming a Personal Scientist. London. Academic Press.
30.Slatter, D. H. 2001. Fundamentals of veterinary opthalmology. 3rd ed. London. W.B. Saunders Co. Ltd.
31.Xu, F., Zhang, J., Fu, Z. and Zhang, X. 2005. Pig-Vet: a web-based expert system for pig disease diagnosis. Proceedings of the Seventh International Symposium.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15688-
dc.description.abstract目前台灣將專家系統運用在醫療診斷上的研究,大多以醫學為主,在獸醫學方面較少。有鑑於此,本研究希望開發一套可擴充性的獸醫線上診斷專家系統,提供獸醫師在臨床診斷方面準確且有效的協助。在程式設計方面,採用角色存取控管,將使用者分為系統管理員、獸醫師、一般使用者等三種角色,根據不同角色之功能需求給予不同的操作權限,以達到系統控管之目的。系統操作步驟如下,使用者首先要選擇動物的品種,接著選取出現的症狀,系統便會依據被選取的症狀,先經過法則式知識庫篩選,再透過加權計算後產生結果,告知使用者得到哪些疾病的可能性較大。本研究與獸醫系合作,由獸醫專家協助設定權重及資料庫的建立,首先針對犬的眼科疾病建立線上診斷專家系統,最終目的是希望藉由此系統所建立之診斷專家系統框架,透過獸醫師的配合,逐漸擴充資料庫,將系統的應用範圍延伸到其他動物疾病上,及經由持續更新權重資料,提高系統診斷的正確性,進而提供獸醫師在臨床診斷上準確且有效的協助。對一般使用者而言,也能透過這套系統,學習動物疾病的相關知識。隨著寬頻網路的普及化,線上診斷專家系統可以讓身處世界各地的眾多使用者,同時使用這套系統,不會受到時間跟空間的限制,配合友善的使用者介面,相信對這套系統的延伸性跟推廣更有助益。zh_TW
dc.description.abstractThe studies in the expert system of medical diagnoses in Taiwan are mostly on human diseases, very few are on animal diseases. In view of this, it is desired to develop an expandable web-based veterinary diagnosis expert system which will provide accurate and reliable assistance in clinical diagnosis for veterinarians. This system is designed in Role-Based Access Control (RBAC). There are three types of roles including administrator, veterinarian, and common user. Based on the needs of the role, each role has different authority operating this system. The main operation workflow is as fallow: First, user has to choose the animal’s category, than choose the symptoms appeared on the animal. According to the symptoms input by user, the system will search from the rule-based database and diagnose diseases by using weighting method. This expert system will notify user the possibilities of the diseases the animal might be infected with and refer to the recommended clinical diagnosis. This study is cooperated with the Department of Veterinary Medicine. The veterinary experts helped us define the weighting factor and created the animal disease database in this study. It is initiated from canine ophthalmology online diagnostic expert system then can be expanded to other animal diseases by veterinarians through the expert system frame developed. Via continuous updates of weighting factor to increase the accuracy of diagnosis will provide accurate and reliable assistance in clinical diagnosis for veterinarians. Additionally, common users can learn the knowledge of animal disease through this system. Worldwide users can operate this system at the same time, with no time frame limitation by utilizing the universality of broadband network.en
dc.description.provenanceMade available in DSpace on 2021-06-07T17:50:04Z (GMT). No. of bitstreams: 1
ntu-102-R91631011-1.pdf: 9681232 bytes, checksum: c7796ef3b96aec0276773eb1d84488c7 (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents誌謝....................................................ii
摘要....................................................iii
Abstract................................................iv
圖目錄..................................................vi
表目錄..................................................viii
1.前言..................................................1
2.文獻探討..............................................2
2.1 專家系統............................................2
2.2 知識擷取..........................................8
2.3 知識表現法........................................9
2.4 診斷專家系統......................................10
3.系統架構..............................................15
3.1 開發工具..........................................15
3.2 系統設計..........................................15
3.3 知識擷取及資料庫建立..............................20
3.4 系統架構及操作頁面................................22
4.結果與討論............................................44
4.1 專家系統骨架與知識擷取..............................44
4.2 使用者介面..........................................45
4.3 診斷決策支援系統....................................46
4.4 系統應用與未來展望................................51
5.結論..................................................52
參考文獻................................................53
dc.language.isozh-TW
dc.subject動物疾病zh_TW
dc.subject專家系統zh_TW
dc.subject輔助診斷zh_TW
dc.subject專家系統框架zh_TW
dc.subjectdiagnoseen
dc.subjectanimal diseaseen
dc.subjectexpert system frameen
dc.subjectexpert systemen
dc.title擴充性獸醫線上診斷專家系統之開發(以犬眼疾病診斷為例)zh_TW
dc.titleDevelopment of an Expandable Web-based Veterinary Expert System for Diagnosing Animal Diseases (Based on Canine’s Eyes)en
dc.typeThesis
dc.date.schoolyear101-1
dc.description.degree碩士
dc.contributor.oralexamcommittee周楚洋(Chu-Yang Chou),鄭宗記(Tzong-Jih Cheng)
dc.subject.keyword專家系統,輔助診斷,專家系統框架,動物疾病,zh_TW
dc.subject.keywordexpert system,diagnose,expert system frame,animal disease,en
dc.relation.page55
dc.rights.note未授權
dc.date.accepted2013-01-18
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept生物產業機電工程學研究所zh_TW
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