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Cited by in F6Publishing
For: Lei G, Wang G, Zhang C, Chen Y, Yang X. Using Machine Learning to Predict Acute Kidney Injury After Aortic Arch Surgery. Journal of Cardiothoracic and Vascular Anesthesia 2020;34:3321-8. [DOI: 10.1053/j.jvca.2020.06.007] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Vanneman MW, Fielding-Singh V, Aghaeepour N. Predicting Post-Liver Transplant Outcomes-Rise of the Machines or a Foggy Crystal Ball? J Cardiothorac Vasc Anesth 2021;35:2070-2. [PMID: 33846080 DOI: 10.1053/j.jvca.2021.03.012] [Reference Citation Analysis]
2 Shi S, Lei G, Yang L, Zhang C, Fang Z, Li J, Wang G. Using Machine Learning to Predict Postoperative Liver Dysfunction After Aortic Arch Surgery. J Cardiothorac Vasc Anesth 2021;35:2330-5. [PMID: 33745835 DOI: 10.1053/j.jvca.2021.02.046] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Zhou Y, Ge YT, Shi XL, Wu KY, Chen WW, Ding YB, Xiao WM, Wang D, Lu GT, Hu LH. Machine learning predictive models for acute pancreatitis: A systematic review. Int J Med Inform 2022;157:104641. [PMID: 34785488 DOI: 10.1016/j.ijmedinf.2021.104641] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
4 Banna HU, Zanabli A, McMillan B, Lehmann M, Gupta S, Gerbo M, Palko J. Evaluation of machine learning algorithms for trabeculectomy outcome prediction in patients with glaucoma. Sci Rep 2022;12:2473. [PMID: 35169235 DOI: 10.1038/s41598-022-06438-7] [Reference Citation Analysis]
5 Rellum SR, Schuurmans J, van der Ven WH, Eberl S, Driessen AHG, Vlaar APJ, Veelo DP. Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review. J Thorac Dis 2021;13:6976-93. [PMID: 35070381 DOI: 10.21037/jtd-21-765] [Reference Citation Analysis]
6 Lee TH, Chen JJ, Cheng CT, Chang CH. Does Artificial Intelligence Make Clinical Decision Better? A Review of Artificial Intelligence and Machine Learning in Acute Kidney Injury Prediction. Healthcare (Basel) 2021;9:1662. [PMID: 34946388 DOI: 10.3390/healthcare9121662] [Reference Citation Analysis]
7 Zhong Z, Yuan X, Liu S, Yang Y, Liu F. Machine learning prediction models for prognosis of critically ill patients after open-heart surgery. Sci Rep 2021;11:3384. [PMID: 33564090 DOI: 10.1038/s41598-021-83020-7] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]