| dc.contributor.author | Karakis, R. | |
| dc.contributor.author | Tez, M. | |
| dc.contributor.author | Kihc, Y. A. | |
| dc.contributor.author | Kuru, B. | |
| dc.contributor.author | Guler, I. | |
| dc.date.accessioned | 2020-06-21T14:05:44Z | |
| dc.date.available | 2020-06-21T14:05:44Z | |
| dc.date.issued | 2013 | |
| dc.identifier.issn | 0952-1976 | |
| dc.identifier.uri | https://doi.org/10.1016/j.engappai.2013.02.005 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/15871 | |
| dc.description | WOS: 000319241300019 | en_US |
| dc.description.abstract | … | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Pergamon-Elsevier Science Ltd | en_US |
| dc.relation.isversionof | 10.1016/j.engappai.2013.02.005 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer (vol 26, pg 945, 2013) | en_US |
| dc.type | correction | en_US |
| dc.contributor.department | OMÜ | en_US |
| dc.identifier.volume | 26 | en_US |
| dc.identifier.issue | 05.Jun | en_US |
| dc.identifier.startpage | 1641 | en_US |
| dc.identifier.endpage | 1641 | en_US |
| dc.relation.journal | Engineering Applications of Artificial Intelligence | en_US |
| dc.relation.publicationcategory | Diğer | en_US |
