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En-Xiao Li

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Open access Aug 2026

Interpretable machine learning prognostication of gastroenteropancreatic neuroendocrine tumors across Chinese and United States cohorts

Background Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) display marked clinical heterogeneity, and conventional prognostic indicators such as TNM stage and Ki-67 index provide limited individualized risk discrimination. We aimed to develop and externally validate interpretable machine learning models for sur...

Yang-Wei Fan, Yu-Qian Yang, Ke Wang et al. · 0 citations

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