FairLens: Auditing black-box clinical decision support systems
作者:
Highlights:
• We present a pipeline to detect and explain potential fairness issues in Clinical DSS
• We study and compare different multi-label classification disparity measures
• We explore ICD9 bias in MIMIC-IV, an openly available ICU benchmark dataset
摘要
•We present a pipeline to detect and explain potential fairness issues in Clinical DSS•We study and compare different multi-label classification disparity measures•We explore ICD9 bias in MIMIC-IV, an openly available ICU benchmark dataset
论文关键词:Clinical decision support systems,Fairness and bias in machine learning systems,eXplainable artificial intelligence
论文评审过程:Received 30 November 2020, Revised 18 March 2021, Accepted 26 May 2021, Available online 22 June 2021, Version of Record 22 June 2021.
论文官网地址:https://doi.org/10.1016/j.ipm.2021.102657