Linked Life Data

8585709

Source:http://linkedlifedata.com/resource/pubmed/id/8585709

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1996-3-21
pubmed:abstractText
This article describes the theoretical underpinnings that preceded the design of a new neonatal pulse oximeter alarm that differentiates true from false alarms based on an artificial intelligence theory called "fuzzy logic." The connection between the intuition and sense of advocacy gained through neonatal primary nursing and the application of fuzzy logic to solve the problem of false alarms--that is, the symbiosis between nurse and machine--are explained. Emphasis is placed throughout on the importance of involving nurses in the development of the technology for which they are responsible.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0161-9268
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
67-75
pubmed:dateRevised
2007-10-26
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Symbiosis of nurse and machine through fuzzy logic: improved specificity of a neonatal pulse oximeter alarm.
pubmed:affiliation
Department of Pediatrics, California Pacific Medical Center, USA.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't