Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows
作者:
Highlights:
• We explored temporal dynamics of AKI risk factors under different time windows.
• A knowledge mining approach was constructed to explore the risk fluctuations.
• The existence of feature weight volatility provides some practical implications.
摘要
•We explored temporal dynamics of AKI risk factors under different time windows.•A knowledge mining approach was constructed to explore the risk fluctuations.•The existence of feature weight volatility provides some practical implications.
论文关键词:Acute kidney injury,Knowledge mining approach,Risk prediction,Temporal fluctuation,Electronic medical records
论文评审过程:Received 11 November 2020, Revised 21 March 2022, Accepted 23 March 2022, Available online 29 March 2022, Version of Record 9 April 2022.
论文官网地址:https://doi.org/10.1016/j.knosys.2022.108655