An online decision support system of searching and preliminary diagnosis on goose diseases
| Autor: | Ai-Lian Chen, 陳艾蓮 |
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| Rok vydání: | 2012 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 100 The purpose of this study was to develop an online decision support system of searching and preliminary diagnosis on goose for goose farm through apparent symptoms and assist farmers to learn about epistemology of goose diseases. This system used Microsoft Windows Server 2003 operation system, and was written in ASP.NET 3.5 programming language coordinated with Microsoft Access 2007 database. This system was mainly divided into six sections in terms of goose diseases searching system, goose disease diagnosis system, goose disease index, relevant web resources, system manual and contact programmer. The searching system was separated into five parts regarding clinical examination of goose diseases, breed of goose, goose disease videos, classification of goose diseases and goose disease pictures. The section of classification of goose diseases includes six parts concerning virus, bacteria, fungus, parasite, metabolic disorders and toxic. The section of goose disease index offered three parts including goose diseases in the system, communicable disease and zoonoses, user could search goose disease according to classification of this system. The relevant web provides related websites of goose diseases, animal science and veterinary medicine, academic units and animal disease control centers at each county in Taiwan. The system collected 40 common goose diseases for goose farm in Taiwan and collected different types of color pictures to make as an assisted reference to identify goose diseases. In preliminary diagnosis system, apparent clinical symptoms were separated into six main parts in terms of general, skin/feather, respiratory, digestive/excretive, nervous, and attack age/season. User could choose different icon according to observed symptom. The system could thus preliminarily diagnose possible diseases and summed up weighted values and rankings accordingly. The system can help users to preliminarily diagnose goose diseases through their past experiences and acquire related goose knowledge. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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