Linked Life Data

10904997

Source:http://linkedlifedata.com/resource/pubmed/id/10904997

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2000-8-8
pubmed:abstractText
The interpretation of cardiotocograms is essentially for perinatal management, it remains labour intensive and depends on training and experience. With the development of modern analysing systems with conventional classification techniques, it seems possible to introduce expert systems and neuronal networks for a better interpretation and classification of cardiotocograms. Techniques of artificial intelligence are powerful tools and should be integrated in future systems. Because CTG-analysis--as a single procedure--is only of limited value for sufficient fetal prognosis, we conclude that computer aided CTG-analysis in combination with additional fetal parameters, for example partial oxygen pressure, will allow the development of future sufficient perinatal expert systems. Nothing should hinder future integration of computerized cardiotocogram analysing systems into everyday clinical routine and to connect it to obstetrical databases.
pubmed:language
ger
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0044-4197
pubmed:author
pubmed:issnType
Print
pubmed:volume
122
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
328-33
pubmed:dateRevised
2008-2-11
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
[Computer-assisted cardiotocogram analysis--from descriptive to perinatal expert system].
pubmed:affiliation
Universitätsfrauenklinik, Universität Mainz. seufert@mail.uni-mainz.de
pubmed:publicationType
Journal Article, English Abstract, Review