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Cited by in CrossRef
For: Zhang YB, Yang G, Bu Y, Lei P, Zhang W, Zhang DY. Development of a machine learning-based model for predicting risk of early postoperative recurrence of hepatocellular carcinoma. World J Gastroenterol 2023; 29(43): 5804-5817 [PMID: 38074914 DOI: 10.3748/wjg.v29.i43.5804]
URL: https://www.wjgnet.com/1007-9327/full/v29/i43/5804.htm
Number Citing Articles
1
Mariana Michelle Ramírez-Mejía, Nahum Méndez-Sánchez. From prediction to prevention: Machine learning revolutionizes hepatocellular carcinoma recurrence monitoringWorld Journal of Gastroenterology 2024; 30(7): 631-635 doi: 10.3748/wjg.v30.i7.631
2
Jing-Feng Chen, Zhuo-Qing Wu, Hao-Shuang Liu, Su Yan, You-Xiang Wang, Miao Xing, Xiao-Qin Song, Su-Ying Ding. Cumulative effects of excess high-normal alanine aminotransferase levels in relation to new-onset metabolic dysfunction-associated fatty liver disease in ChinaWorld Journal of Gastroenterology 2024; 30(10): 1346-1357 doi: 10.3748/wjg.v30.i10.1346