For: | Lu T, Lu M, Wu D, Ding YY, Liu HN, Li TT, Song DQ. Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study. World J Gastrointest Surg 2024; 16(1): 85-94 [PMID: 38328326 DOI: 10.4240/wjgs.v16.i1.85] |
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URL: | https://www.wjgnet.com/1007-9327/full/v16/i1/85.htm |
Number | Citing Articles |
1 |
Yong-Le Zhang, Hai-Bin Song, Ying-Wei Xue. Machine learning-based reconstruction of prognostic staging for gastric cancer patients with different differentiation grades: A multicenter retrospective study. World Journal of Gastroenterology 2025; 31(13): 104466 doi: 10.3748/wjg.v31.i13.104466
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Jia-Ping Yan, Jin-Lei Wang. Retraction note: Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study. World Journal of Gastrointestinal Surgery 2025; 17(1): 101330 doi: 10.4240/wjgs.v17.i1.101330
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Qian Li, Shangcheng Yan, Weiran Yang, Zhuan Du, Ming Cheng, Renwei Chen, Qiankun Shao, Yuan Tian, Mengchao Sheng, Wei Peng, Yongyou Wu. Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American population. BMJ Open 2025; 15(3): e098476 doi: 10.1136/bmjopen-2024-098476
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Claudia Burz, Vlad Pop, Ciprian Silaghi, Iulia Lupan, Gabriel Samasca. Prognosis and Treatment of Gastric Cancer: A 2024 Update. Cancers 2024; 16(9): 1708 doi: 10.3390/cancers16091708
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Mobina Khosravi, Seyedeh Kimia Jasemi, Parsa Hayati, Hamid Akbari Javar, Saadat Izadi, Zhila Izadi. Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniques. Computers in Biology and Medicine 2024; 183: 109261 doi: 10.1016/j.compbiomed.2024.109261
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