Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9009
pubmed:dateCreated
1996-5-29
pubmed:abstractText
Decisions about which patients to admit to intensive care and how long to keep them there are difficult. A flexible computer-based mathematical model which is sensitive to the complexity of intensive care medicine, and which accurately models prognosis, seems highly desirable.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0140-6736
pubmed:author
pubmed:issnType
Print
pubmed:day
27
pubmed:volume
347
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1146-50
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1996
pubmed:articleTitle
Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm.
pubmed:affiliation
Infection and Immunity Laboratory, UMDS, London, UK.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't