A prognostic system for epithelial ovarian carcinomas using machine learning
ConclusionsEACCD was successfully applied to integrate A and H with T, N, and M for stratification and survival prediction of epithelial ovarian carcinoma patients. Additional factors could be advantageously incorporated to test the prognostic impact of emerging diagnostic or therapeutic advances.
Source: Acta Obstetricia et Gynecologica Scandinavica - Category: OBGYN Authors: Philip M. Grimley,
Zhenqiu Liu,
Kathleen M. Darcy,
Matthew T. Hueman,
Huan Wang,
Li Sheng,
Donald E. Henson,
Dechang Chen Tags: ORIGINAL RESEARCH ARTICLE Source Type: research
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