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The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

dc.contributor.authorFrancis, N Ken
dc.contributor.authorLuther, Aen
dc.contributor.authorSalib, Een
dc.contributor.authorAllanby, Len
dc.contributor.authorMessenger, Den
dc.contributor.authorAllison, A Sen
dc.contributor.authorSmart, Neil J.en
dc.contributor.authorOckrim, J Ben
dc.date.accessioned2016-03-18T17:37:30Zen
dc.date.available2016-03-18T17:37:30Zen
dc.date.issued2015-07en
dc.identifier.citationThe use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery. 2015, 19 (7):419-28 Tech Coloproctolen
dc.identifier.issn1128-045Xen
dc.identifier.pmid26084884en
dc.identifier.doi10.1007/s10151-015-1319-0en
dc.identifier.urihttp://hdl.handle.net/11287/602240en
dc.description.abstractArtificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal cancer surgery.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urlhttp://dx.doi.org/10.1007/s10151-015-1319-0en
dc.rightsArchived with thanks to Techniques in coloproctologyen
dc.subjectWessex Classification Subject Headings::Gastroenterologyen
dc.titleThe use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.en
dc.typeJournal Articleen
dc.identifier.journalTechniques in coloproctologyen
dc.type.versionPublisheden


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