Interpretable prognostic modeling of endometrial cancer
Abstract 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 t...
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| Principais autores: | , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Nature Portfolio
2022-12-01
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| 叢編: | Scientific Reports |
| 在線閱讀: | https://doi.org/10.1038/s41598-022-26134-w |
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