3315427

Source:http://linkedlifedata.com/resource/pubmed/id/3315427

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0348026, umls-concept:C0684328, umls-concept:C0870071, umls-concept:C0871935, umls-concept:C1706244
pubmed:issue	2
pubmed:dateCreated	1988-1-12
pubmed:abstractText	Parsimonious covering theory is a formal model of diagnostic reasoning. Diagnostic knowledge is represented in the theory as a network of causal associations, and problem-solving is represented in algorithms that support a hypothesize-and-test inference process. This paper summarizes in informal terms the basic ideas in parsimonious covering theory.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/NS-16332
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8506513
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	0169-2607
pubmed:author	pubmed-author:PengYY, pubmed-author:ReggiaJ AJA
pubmed:issnType	Print
pubmed:volume	25
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	125-34
pubmed:dateRevised	2007-11-14
pubmed:meshHeading	pubmed-meshheading:3315427-Algorithms, pubmed-meshheading:3315427-Artificial Intelligence, pubmed-meshheading:3315427-Computer Simulation, pubmed-meshheading:3315427-Diagnosis, Computer-Assisted, pubmed-meshheading:3315427-Probability
pubmed:articleTitle	Modeling diagnostic reasoning: a summary of parsimonious covering theory.
pubmed:affiliation	Department of Neurology, University of Maryland Hospital, Baltimore 21201.
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't