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Cited by in CrossRef
For: Wang D, Zhang JY, Xie Y, Zhang KN, Jiang WT. Interpretable machine learning model for early complication prediction after split liver transplantation. World J Gastroenterol 2025; 31(47): 114370 [PMID: 41479751 DOI: 10.3748/wjg.v31.i47.114370]
URL: https://www.wjgnet.com/1948-5182/full/v31/i47/114370.htm
Number Citing Articles
1
Salvatore S Sciarrone, Milena Di Leo, Lucia Fini, Alessandra Losco, Luca De Luca. Letter to the Editor: Splitting the risk: Interpretable machine learning enters the era of split liver transplantationWorld Journal of Gastroenterology 2026; 32(22): 116533 doi: 10.3748/wjg.v32.i22.116533
2
Yu-Le Ma, Hui-Gang Li, Jin-Xin Xu, Xiao Xu, Di Lu. Letter to the Editor: Early complications in split liver transplantation: An interpretable machine learning model requires multicenter validationWorld Journal of Gastroenterology 2026; 32(23): 116868 doi: 10.3748/wjg.v32.i23.116868