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Artificial neural networks predict survival from pancreatic cancer after radical surgery.

Ansari, Daniel LU ; Nilsson, Johan LU ; Andersson, Roland LU ; Regnér, Sara LU ; Tingstedt, Bobby LU and Andersson, Bodil LU (2013) In American Journal of Surgery 205(1). p.1-7
Abstract
Artificial neural networks (ANNs) are nonlinear pattern recognition techniques that can be used as a tool in medical decision making. The objective of this study was to develop an ANN model for predicting survival in patients with pancreatic ductal adenocarcinoma (PDAC).
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
American Journal of Surgery
volume
205
issue
1
pages
1 - 7
publisher
Elsevier
external identifiers
  • wos:000313622100001
  • pmid:23245432
  • scopus:84871195183
ISSN
1879-1883
DOI
10.1016/j.amjsurg.2012.05.032
language
English
LU publication?
yes
id
aba8b87c-ca7e-4ebb-8a44-4b52d807bd36 (old id 3347131)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23245432?dopt=Abstract
date added to LUP
2013-01-02 16:38:24
date last changed
2019-01-06 11:04:52
@article{aba8b87c-ca7e-4ebb-8a44-4b52d807bd36,
  abstract     = {Artificial neural networks (ANNs) are nonlinear pattern recognition techniques that can be used as a tool in medical decision making. The objective of this study was to develop an ANN model for predicting survival in patients with pancreatic ductal adenocarcinoma (PDAC).},
  author       = {Ansari, Daniel and Nilsson, Johan and Andersson, Roland and Regnér, Sara and Tingstedt, Bobby and Andersson, Bodil},
  issn         = {1879-1883},
  language     = {eng},
  number       = {1},
  pages        = {1--7},
  publisher    = {Elsevier},
  series       = {American Journal of Surgery},
  title        = {Artificial neural networks predict survival from pancreatic cancer after radical surgery.},
  url          = {http://dx.doi.org/10.1016/j.amjsurg.2012.05.032},
  volume       = {205},
  year         = {2013},
}