中国实用内科杂志2023，Vol.43Issue(12)：982-985,4.DOI:10.19538/j.nk2023120104
如何预测急性肾损伤
How to predict acute kidney injury
摘要
Abstract
Acute kidney injury(AKI)is a common severe syndrome with high mortality,which can progress to chronic kidney disease.Early risk assessment,accurate prediction,and prompt diagnosis are crucial in the management of AKI.Advancements in biomarkers and machine learning based on big data have made it possible to predict AKI.This article provides a summary of the application of biomarkers and machine learning in AKI prediction.关键词
急性肾损伤/生物标志物/机器学习Key words
acute kidney injury/biomarkers/machine learning分类
医药卫生引用本文复制引用
丁琪,李文雄..如何预测急性肾损伤[J].中国实用内科杂志,2023,43(12):982-985,4.基金项目
首都卫生发展科研专项项目(首发2020-2-1061) （首发2020-2-1061）
