Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness

Vincent Jeanselme, Maria De-Arteaga, Zhe Zhang, Jessica K. Barrett, Brian D. M. Tom. Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness. In Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy, editors, Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual. Volume 193 of Proceedings of Machine Learning Research, pages 12-34, PMLR, 2022. [doi]

@inproceedings{JeanselmeDZBT22,
  title = {Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness},
  author = {Vincent Jeanselme and Maria De-Arteaga and Zhe Zhang and Jessica K. Barrett and Brian D. M. Tom},
  year = {2022},
  url = {https://proceedings.mlr.press/v193/jeanselme22a.html},
  researchr = {https://researchr.org/publication/JeanselmeDZBT22},
  cites = {0},
  citedby = {0},
  pages = {12-34},
  booktitle = {Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual},
  editor = {Antonio Parziale and Monica Agrawal and Shalmali Joshi and Irene Y. Chen and Shengpu Tang and Luis Oala and Adarsh Subbaswamy},
  volume = {193},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}