Interpretable prognostic modeling of endometrial cancer

Endometrial carcinoma (EC) is one of the most common gynecological cancers in the world. In this work we apply Cox proportional hazards (CPH) and optimal survival tree (OST) algorithms to the retrospective prognostic modeling of disease-specific survival in 842 EC patients. We demonstrate that linea...

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Detalles Bibliográficos
Autores principales: Zagidullin, Bulat, Pasanen, Annukka, Loukovaara, Mikko, Bützow, Ralf, Tang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747711/
https://www.ncbi.nlm.nih.gov/pubmed/36513790
http://dx.doi.org/10.1038/s41598-022-26134-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747711/
https://www.ncbi.nlm.nih.gov/pubmed/36513790
http://dx.doi.org/10.1038/s41598-022-26134-w

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