Linked Life Data

10173024

Source:http://linkedlifedata.com/resource/pubmed/id/10173024

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1997-7-21
pubmed:abstractText
A purposive syndromic classification diagnostic system, with known means to ends, has been developed that extracts bits of structural information from endogenous laboratory data. An edifice of structural information for organization, regulation, and decision-making was built for determining future pathophysiological events by asking the fewest questions to define the next event uniquely. The structural information is based on laboratory ordering patterns of physicians for patient populations they serve. Patient history and a physical examination may be included as hardware and software evolves for linking more aspects of the medical record.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1041-3235
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6-7
pubmed:dateRevised
2011-11-17
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Enhancing laboratory detection of disease. Part 3: Detecting a hantavirus disease event: a case study.
pubmed:affiliation
Department of Biology, University of New Mexico, Albuquerque 87198, USA. ryba@swep.com
pubmed:publicationType
Journal Article, Case Reports