What will it bring to us when acute kidney injury meets with big data time
Sun Ren-hua
Liu Jing-quan
Yang Xiang-hong
Abstract：Acute kidney injury (AKI) is strongly associated with high morbidity and mortality, which is a global common critical care clinical syndrome. AKI may be an ideal syndrome from which various dimensions and applications built within the context of big data may influence the structure of risk prediction,care processes and outcomes for patients. This article describes how to build the big data, which creates the opportunity to develop predictive approaches, optimize AKI alerts, and trace AKI events. Furthermore,we introduce the scientific progress in the field of AKI,and provide some relevant academic foundation for scientific advancement of severe kidney domain in future.
Keywords：Acute kidney injury (AKI)Big dataRisk factorsElectronic-alertOutcome
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 97-102 )