• Login
    View Item 
    •   RD&E Research Repository Home
    • All RD&E publications by year
    • 2015 RD&E publications
    • View Item
    •   RD&E Research Repository Home
    • All RD&E publications by year
    • 2015 RD&E publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

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

    Thumbnail
    URI
    http://hdl.handle.net/11287/602240
    Author
    Francis, N K
    Luther, A
    Salib, E
    Allanby, L
    Messenger, D
    Allison, A S
    Smart, Neil J.
    Ockrim, J B
    Date
    2015-07
    Journal
    Techniques in coloproctology
    Type
    Journal Article
    Publisher
    Springer
    DOI
    10.1007/s10151-015-1319-0
    Rights
    Archived with thanks to Techniques in coloproctology
    Metadata
    Show full item record
    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 URL
    http://dx.doi.org/10.1007/s10151-015-1319-0
    Collections
    • 2015 RD&E publications
    • Colorectal Surgery
    • HeSRU publications

    Browse

    All of RD&E Research RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    DSpace software copyright © 2002-2021  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV