| dc.contributor.author | Tander, Baran | |
| dc.contributor.author | Ozmen, Atilla | |
| dc.contributor.author | Ozden, Ender | |
| dc.date.accessioned | 2020-06-21T13:11:58Z | |
| dc.date.available | 2020-06-21T13:11:58Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 978-1-5386-6852-8 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/11796 | |
| dc.description | Medical Technologies National Congress (TIPTEKNO) -- NOV 08-10, 2018 -- Magusa, CYPRUS | en_US |
| dc.description | WOS: 000467637600004 | en_US |
| dc.description.abstract | In this paper, a post-operative recurrence estimation tool called Sorbellini's nomogram for the kidney cancer patients showing no metastates is introduced and a novel application for mobile devices based on this model is developed for the physician's follow up procedures. The TNM stage, tumor size, nuclear (Fuhrman) grade, the existance of necrosis and vascular invasion are employed as the input parameters for this software to predict the recurrence probability in mentioned patients. Finaly, the performance analyses are carried out to verify the reliability of the application. | en_US |
| dc.description.sponsorship | Biyomedikal Klinik Muhendisligi Dernegi, Izmir Katip Celebi Univ, Biyomedikal Muhendisligi Bolumu | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | Ieee | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | kidney cancer | en_US |
| dc.subject | post-operative follow-up | en_US |
| dc.subject | Sorbellini's nomogram | en_US |
| dc.subject | mobile application development | en_US |
| dc.title | Mobile Application Development for the Estimation of Recurrence in Post-Operative Kidney Cancer Cases | en_US |
| dc.type | conferenceObject | en_US |
| dc.contributor.department | OMÜ | en_US |
| dc.relation.journal | 2018 Medical Technologies National Congress (Tiptekno) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
