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Cited by in F6Publishing
For: Choi YI, Park SJ, Chung JW, Kim KO, Cho JH, Kim YJ, Lee KY, Kim KG, Park DK. Development of Machine Learning Model to Predict the 5-Year Risk of Starting Biologic Agents in Patients with Inflammatory Bowel Disease (IBD): K-CDM Network Study.J Clin Med. 2020;9:3427. [PMID: 33114505 DOI: 10.3390/jcm9113427] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 He B, Chen W, Liu L, Hou Z, Zhu H, Cheng H, Zhang Y, Zhan S, Wang S. Prediction Models for Prognosis of Cervical Cancer: Systematic Review and Critical Appraisal. Front Public Health 2021;9:654454. [PMID: 34026714 DOI: 10.3389/fpubh.2021.654454] [Reference Citation Analysis]
2 Marlicz W, Koulaouzidis G, Koulaouzidis A. Artificial Intelligence in Gastroenterology-Walking into the Room of Little Miracles. J Clin Med 2020;9:E3675. [PMID: 33207649 DOI: 10.3390/jcm9113675] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Lo B, Burisch J. Artificial intelligence assisted assessment of endoscopic disease activity in inflammatory bowel disease. Artif Intell Gastrointest Endosc 2021; 2(4): 95-102 [DOI: 10.37126/aige.v2.i4.95] [Reference Citation Analysis]