{"title":"寄生虫鉴定的超媒体系统","authors":"Cecilia Lalle","doi":"10.1016/0020-7101(96)01172-5","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper a hypermedia system for parasite identification is described. The knowledge base is relative to the class of the Trematoda parasites and reports agent, vector, disease, related category of the International Classification of Diseases and geographic area. A graphic user-friendly human-machine interface has been realized for this system.</p></div>","PeriodicalId":75935,"journal":{"name":"International journal of bio-medical computing","volume":"41 3","pages":"Pages 175-180"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0020-7101(96)01172-5","citationCount":"1","resultStr":"{\"title\":\"A hypermedia system for parasite identification\",\"authors\":\"Cecilia Lalle\",\"doi\":\"10.1016/0020-7101(96)01172-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper a hypermedia system for parasite identification is described. The knowledge base is relative to the class of the Trematoda parasites and reports agent, vector, disease, related category of the International Classification of Diseases and geographic area. A graphic user-friendly human-machine interface has been realized for this system.</p></div>\",\"PeriodicalId\":75935,\"journal\":{\"name\":\"International journal of bio-medical computing\",\"volume\":\"41 3\",\"pages\":\"Pages 175-180\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0020-7101(96)01172-5\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of bio-medical computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0020710196011725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of bio-medical computing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0020710196011725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper a hypermedia system for parasite identification is described. The knowledge base is relative to the class of the Trematoda parasites and reports agent, vector, disease, related category of the International Classification of Diseases and geographic area. A graphic user-friendly human-machine interface has been realized for this system.
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