BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Xu FB, Cheng H, Yue T, Ye N, Zhang HJ, Chen YP. Derivation and validation of a prediction score for acute kidney injury secondary to acute myocardial infarction in Chinese patients. BMC Nephrol 2019;20:195. [PMID: 31146701 DOI: 10.1186/s12882-019-1379-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
Number Citing Articles
1 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]
2 Shiyovich A, Skalsky K, Steinmetz T, Ovdat T, Eisen A, Samara A, Beigel R, Gleitman S, Kornowski R, Orvin K. Acute Kidney Injury Following Admission with Acute Coronary Syndrome: The Role of Diabetes Mellitus. J Clin Med 2021;10:4931. [PMID: 34768451 DOI: 10.3390/jcm10214931] [Reference Citation Analysis]
3 Dong JF, Xue Q, Chen T, Zhao YY, Fu H, Guo WY, Ji JS. Machine learning approach to predict acute kidney injury after liver surgery. World J Clin Cases 2021; 9(36): 11255-11264 [DOI: 10.12998/wjcc.v9.i36.11255] [Reference Citation Analysis]