Corpus ID: 231847026

Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare

@article{Yuan2021AssessingFI,
  title={Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare},
  author={Mingqi Yuan and Vikas Kumar and Muhammad Aurangzeb Ahmad and Ankur Teredesai},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.03717}
}
Fairness in AI and machine learning systems has become a fundamental problem in the accountability of AI systems. While the need for accountability of AI models is near ubiquitous, healthcare in particular is a challenging field where accountability of such systems takes upon additional importance, as decisions in healthcare can have life altering consequences. In this paper we present preliminary results on fairness in the context of classification parity in healthcare. We also present some… Expand

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