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Cited by in F6Publishing
For: Sun L, Zhu W, Chen X, Jiang J, Ji Y, Liu N, Xu Y, Zhuang Y, Sun Z, Wang Q, Zhang F. Machine Learning to Predict Contrast-Induced Acute Kidney Injury in Patients With Acute Myocardial Infarction. Front Med (Lausanne) 2020;7:592007. [PMID: 33282893 DOI: 10.3389/fmed.2020.592007] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Liu K, Zhang X, Chen W, Yu ASL, Kellum JA, Matheny ME, Simpson SQ, Hu Y, Liu M. Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records. JAMA Netw Open 2022;5:e2219776. [DOI: 10.1001/jamanetworkopen.2022.19776] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 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] [Cited by in F6Publishing: 1] [Reference Citation Analysis]