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Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables.

作者信息

Choi Heejung, Choi Byungjin, Park Inwhee

机构信息

Department of Nephrology, Ajou University School of Medicine, Korea.

Department of Biomedical Informatics, Ajou University School of Medicine, Korea.

出版信息

Intern Med. 2024 Oct 1;63(19):2719. doi: 10.2169/internalmedicine.3308-23. Epub 2024 Feb 1.

DOI:10.2169/internalmedicine.3308-23
PMID:38296469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11518587/
Abstract
摘要

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本文引用的文献

1
Post-contrast acute kidney injury. Part 2: risk stratification, role of hydration and other prophylactic measures, patients taking metformin and chronic dialysis patients : Recommendations for updated ESUR Contrast Medium Safety Committee guidelines.对比剂后急性肾损伤。第 2 部分：风险分层、水化和其他预防措施的作用、服用二甲双胍的患者和慢性透析患者：更新 ESUR 对比剂安全委员会指南的建议。
Eur Radiol. 2018 Jul;28(7):2856-2869. doi: 10.1007/s00330-017-5247-4. Epub 2018 Feb 7.
2
Urinary excretion of liver-type fatty acid-binding protein in contrast medium-induced nephropathy.对比剂肾病中肝型脂肪酸结合蛋白的尿排泄情况
Am J Kidney Dis. 2006 Mar;47(3):439-44. doi: 10.1053/j.ajkd.2005.11.006.