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