Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2011-7-11
pubmed:abstractText
Different reasons may cause difficult intraoperative surgical situations. This study aims to predict intraoperative complexity by classifying and evaluating preoperative patient data. The basic prediction problem addressed in this paper involves the classification of preoperative data into two classes: easy (Class 0) and complex (Class 1) surgeries.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1873-2860
pubmed:author
pubmed:copyrightInfo
Copyright © 2011 Elsevier B.V. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
52
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
169-76
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy.
pubmed:affiliation
Department of Biomechanical Engineering, Delft University of technology, The Netherlands. loubna.bouarfa@gmail.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Validation Studies