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A theory of medical diagnosis as hypothesis refinement

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper, medical diagnosis is viewed as a two-stage process: medical knowledge is first interpreted in a diagnostic sense; next, observed findings are interpreted with respect to this interpreted knowledge and a given hypothesis, yielding a diagnosis. A new set-theoretical framework is introduced that captures this view of diagnosis; it is used to formalize various notions of diagnosis, those proposed in the literature included. Next, a new theory of flexible diagnosis, called refinement diagnosis, is proposed and defined in terms of this framework. Relationships with notions of diagnosis known from the literature are investigated.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine
Subtitle of host publication6th Conference in Artificial Intelligence in Medicine, Europe, AIME '97, Grenoble, France, March 23-26, 1997, Proceedings
EditorsRobert Baud, Elpida Keravnou, Catherine Garbay, Jeremy Wyatt
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages169-180
Number of pages12
ISBN (Electronic)978-3-540-68448-0
ISBN (Print)978-3-540-62709-8
DOIs
Publication statusPublished - 1997
Externally publishedYes
Event6th Conference on Artificial Intelligence in Medicine in Europe, AIME 1997 - Grenoble, France
Duration: 23 Mar 199726 Mar 1997
Conference number: 6

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume1211
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Conference on Artificial Intelligence in Medicine in Europe, AIME 1997
Abbreviated titleAIME
Country/TerritoryFrance
CityGrenoble
Period23/03/9726/03/97

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