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Cited by in CrossRef
For: Mao J, Chao K, Jiang FL, Ye XP, Yang T, Li P, Zhu X, Hu PJ, Zhou BJ, Huang M, Gao X, Wang XD. Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population. World J Gastroenterol 2023; 29(24): 3855-3870 [PMID: 37426324 DOI: 10.3748/wjg.v29.i24.3855]
URL: https://www.wjgnet.com/1007-9327/full/v29/i24/3855.htm
Number Citing Articles
1
Qiaozhi Hu, Yuxian Chen, Dan Zou, Zhiyao He, Ting Xu. Predicting adverse drug event using machine learning based on electronic health records: a systematic review and meta-analysisFrontiers in Pharmacology 2024; 15 doi: 10.3389/fphar.2024.1497397
2
Zhao Xi, Wang Jie, Zou Long, Shi Shasha. A review of thalidomide and digestive system related diseasesFrontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1543757
3
Kensuke Takei, Toshihiro Inokuchi, Sakiko Hiraoka, Mikako Ishiguro, Junki Toyosawa, Yuki Aoyama, Shoko Igawa, Keiko Takeuchi, Yasushi Yamasaki, Hideaki Kinugasa, Masahiro Takahara, Seiji Kawano, Toshiharu Mitsuhashi, Motoyuki Otsuka. Efficient diagnosis for endoscopic remission in Crohn’s diseases by the combination of three non-invasive markersBMC Gastroenterology 2025; 25(1) doi: 10.1186/s12876-025-03880-5