Article
Unraveling the genetic and molecular landscape of sepsis and acute kidney injury: A comprehensive GWAS and machine learning approach.
International immunopharmacology - 20 Aug 2024
Yang Sha, Guo Jing, Xiong Yunbiao, Han Guoqiang, Luo Tao, Peng Shuo, Liu Jian, Hu Tieyi, Zha Yan, Lin Xin, Tan Ying, Zhang Jiqin
Abstract excerpt
OBJECTIVES: This study aimed to explore the underlying mechanisms of sepsis and acute kidney injury (AKI), including sepsis-associated AKI (SA-AKI), a frequent complication in critically ill sepsis patients. METHODS: GWAS data was analyzed for genetic association between AKI and sepsis. Then, we systematically applied three distinct machine learning algorithms (LASSO, SVM-RFE, RF) to rigorously identify and...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.