Comparison of Performance of Deep Survival and Cox Proportional Hazard Models: an Application on the Lung Cancer Dataset

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dc.contributor.authorAkbaş, Kübra Elif
dc.contributor.authorKaya, Mehmet Onur
dc.contributor.authorÇiçek, İpek Balıkçı
dc.contributor.authorÇolak, Cemil
dc.date.accessioned2024-08-04T19:53:21Z
dc.date.available2024-08-04T19:53:21Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe goal of this study is to compare the performance of the deep survival model and the Cox regression model in an open-access Lung cancer dataset consisting of survi vors and dead patients. In the study, it is applied to an open access dataset named "Lung Cancer Data" to compare the performances of the CPH and deepsurv models. The performance of the models is evaluated by C-index, AUC, and Brier score. The concordance index of the deep survival model is 0.64296, the Brier score was 0.128921, and the AUC was 0.6835. With the Cox regression model, the concordance index is calculated as 0.61445, brier score 0.1667, and AUC 0.5832. According to the Con cordance index, brier score, and AUC criteria, the deep survival model performed better than the cox regression model. DeepSurv's forecasting, modeling, and predictive capabilities pave the path for future deep neural network and survival analysis research. DeepSurv has the potential to supplement traditional survival analysis methods and become the standard method for medical doctors to examine and offer individualized treatment alternatives with more research.en_US
dc.identifier.doi10.5455/medscience.2022.03.078
dc.identifier.endpage1206en_US
dc.identifier.issn2147-0634
dc.identifier.issue3en_US
dc.identifier.startpage1202en_US
dc.identifier.trdizinid1131319en_US
dc.identifier.urihttps://doi.org/10.5455/medscience.2022.03.078
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1131319
dc.identifier.urihttps://hdl.handle.net/11616/89682
dc.identifier.volume11en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofMedicine Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleComparison of Performance of Deep Survival and Cox Proportional Hazard Models: an Application on the Lung Cancer Dataseten_US
dc.typeArticleen_US

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