(A) knowledge-based system for infertility diagnosis and treatment불임의 진단 및 치료를 위한 지식 기반 시스템

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dc.contributor.advisorKim, Soung-Hie-
dc.contributor.advisor김성희-
dc.contributor.authorChoi, Yong-Sun-
dc.contributor.author최용선-
dc.date.accessioned2011-12-14T04:16:21Z-
dc.date.available2011-12-14T04:16:21Z-
dc.date.issued1988-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=66370&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/41284-
dc.description학위논문(석사) - 한국과학기술원 : 산업공학과, 1988, [ [iii], 47, [1] p. ]-
dc.description.abstractThere has been various approaches to use computer in medical consultation. Expert medical consulation is a problem-solving process that draws on a rich, though incomplete, body of knowledge that is both empirical and conceptual in nature. Much of Artificial Intelligence research has focused on determining the appropriate knowledge representations to use in order to achieve high performance from knowledge-based systems. In his thesis, A knowledge-based medical consultation system for diagnosing Dysmenorrhea in Gynecologics, with its knowledge representation and drawing inferences method, is introduced.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.title(A) knowledge-based system for infertility diagnosis and treatment-
dc.title.alternative불임의 진단 및 치료를 위한 지식 기반 시스템-
dc.typeThesis(Master)-
dc.identifier.CNRN66370/325007-
dc.description.department한국과학기술원 : 산업공학과, -
dc.identifier.uid000861438-
dc.contributor.localauthorKim, Soung-Hie-
dc.contributor.localauthor김성희-
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IE-Theses_Master(석사논문)
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