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Machine learning models for outcome prediction of Chinese uveal melanoma patients: A 15-year follow-up study 被引量:3
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作者 Yu-Ning chen Yi-Ning Wang +12 位作者 Meng-Xi chen Kai Zhang rong-tian chen Rui Fang Heng Wang Hai-Han Zhang Yi-Ning Huang Yu Feng Jing-Ting Luo Yin-Jun Lan Yue-Ming Liu Yang Li Wen-Bin Wei 《Cancer Communications》 SCIE 2022年第3期273-276,共4页
Dear Editor Uveal melanoma(UM)is the most frequent primary malig-nant intraocular tumor in adults with an estimated inci-dence of 4-5 per million per year in western countries[1].About 50%of UM patients eventually dev... Dear Editor Uveal melanoma(UM)is the most frequent primary malig-nant intraocular tumor in adults with an estimated inci-dence of 4-5 per million per year in western countries[1].About 50%of UM patients eventually develop metas-tasis.In a previous study,the prognosis of Chinese UM was mainly correlated with visual clinical features and gene sequencing results.Models designed to predict UM prognosis have been previously described[2],but these studies were based on Caucasians,not Chinese. 展开更多
关键词 MELANOMA PATIENTS PROGNOSIS
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