Prediction of hyperuricemia in people taking low-dose aspirin using a machine learning algorithm: a cross-sectional study of the National Health and Nutrition Examination Survey

Prediction of hyperuricemia in people taking low-dose aspirin using a machine learning algorithm: a cross-sectional study of the National Health and Nutrition Examination Survey

Background: Hyperuricemia is a serious health problem related to not only gout but also cardiovascular diseases (CVDs). Low-dose aspirin was reported to inhibit uric acid excretion, which leads to hyperuricemia. To decrease hyperuricemia-related CVD, this study aimed to identify the risk of hyperuri...

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Bibliographic Details
Main Authors: Bin Zhu, Li Yang, Mingfen Wu, Qiao Wu, Kejia Liu, Yansheng Li, Wei Guo, Zhigang Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Pharmacology
Subjects:
Hyperuricemia
National Health and Nutrition Examination Survey
Aspirin
machine learning
eXtreme Gradient Boosting
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2023.1276149/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2023.1276149/full

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