Source:http://linkedlifedata.com/resource/pubmed/id/21665445
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
2011-7-11
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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.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
1873-2860
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pubmed:author | |
pubmed:copyrightInfo |
Copyright © 2011 Elsevier B.V. All rights reserved.
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pubmed:issnType |
Electronic
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pubmed:volume |
52
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
169-76
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pubmed:meshHeading | |
pubmed:year |
2011
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pubmed:articleTitle |
Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy.
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pubmed:affiliation |
Department of Biomechanical Engineering, Delft University of technology, The Netherlands. loubna.bouarfa@gmail.com
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Validation Studies
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