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A cost-effective, machine learning-based new unified risk-classification score (NU-CATS) for patients with endometrial cancer.

Gynecologic oncology - 1 Aug 2023

Zheng Shuhua, Wu Yilin, Donnelly Eric D, Strauss Jonathan B

Abstract excerpt

INTRODUCTION: Treatment for endometrial cancer (EC) is increasingly guided by molecular risk classifications. Here, we aimed at using machine learning (ML) to incorporate clinical and molecular risk factors to optimize risk assessment. METHODS: The Cancer Genome Atlas-Uterine Corpus Endometrial Carcinoma (n = 596), Memorial Sloan Kettering-Metastatic Events and Tropisms (n = 1315) and the American Association for...

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PMID: 37336081
DOI: 10.1016/j.ygyno.2023.06.008

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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