Artificial neural networks predict survival from pancreatic cancer after radical surgery.
(2013) In The 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:
https://lup.lub.lu.se/record/3347131
- author
- Ansari, Daniel LU ; Nilsson, Johan LU ; Andersson, Roland LU ; Regnér, Sara LU ; Tingstedt, Bobby LU and Andersson, Bodil LU
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- in
- The American Journal of Surgery
- volume
- 205
- issue
- 1
- pages
- 1 - 7
- publisher
- Elsevier
- external identifiers
-
- wos:000313622100001
- pmid:23245432
- scopus:84871195183
- pmid:23245432
- 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
- 2016-04-04 08:29:39
- date last changed
- 2022-03-23 02:26:07
@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 = {{The 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}}, doi = {{10.1016/j.amjsurg.2012.05.032}}, volume = {{205}}, year = {{2013}}, }