Article

Interpretable prognostic modeling of endometrial cancer

2022-08-25

Abstract excerpt

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 the linear CPH models are preferred for the EC risk assessment based on clinical features alone, while the interpretable,...

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Literature Corpus work: e4ece691-3498-5104-bb52-8687537708f5
DOI: 10.1101/2022.08.23.504935

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