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

2.50
Hdl Handle:
http://hdl.handle.net/11287/602240
Title:
The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.
Authors:
Francis, N K; Luther, A; Salib, E; Allanby, L; Messenger, D; Allison, A S; Smart, Neil J. ( 0000-0002-3043-8324 ) ; Ockrim, J B
Abstract:
Artificial 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.
Citation:
The 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 Coloproctol
Publisher:
Springer
Journal:
Techniques in coloproctology
Issue Date:
Jul-2015
URI:
http://hdl.handle.net/11287/602240
DOI:
10.1007/s10151-015-1319-0
PubMed ID:
26084884
Additional Links:
http://dx.doi.org/10.1007/s10151-015-1319-0
Type:
Journal Article
Language:
en
ISSN:
1128-045X
Appears in Collections:
2015 RD&E publications; Colorectal Surgery; HeSRU publications

Full metadata record

DC FieldValue Language
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

Related articles on PubMed

All Items in RD&E Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.