Development and validation of a predictive model for extranodal natural killer/T-cell lymphoma

Abstract Current survival prediction model for extra-nodal natural killer/T-cell lymphoma (ENKTL) have poor accuracy. We developed and validated a machine-learning (ML) algorithm using clinical and pathological co-variates. Data from 977 subjects with ENKTL from 4 cohorts were analyzed. Model perfor...

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Autori principali:	Shuo Li, Li-Min Gao, Huang-Ming Hong, Yu-Jia Zhong, Qing-Qing Cai, Hui-Qiang Huang, Zhi-Ming Li, He Huang, Yin-Li Zheng, Xuan-Kai Zeng, Yan-Fen Feng, Ying-Chun Zhang, Sheng-Bing Zang, Yan Li, Jing-Ping Yun, Yu-Hua Huang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-01-01
Serie:	npj Digital Medicine
Accesso online:	https://doi.org/10.1038/s41746-025-02316-4
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