Explaining a machine learning decision to physicians via counterfactuals

Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner. Explaining a machine learning decision to physicians via counterfactuals. In Bobak J. Mortazavi, Tasmie Sarker, Andrew Beam, Joyce C. Ho, editors, Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA. Volume 209 of Proceedings of Machine Learning Research, pages 556-577, PMLR, 2023. [doi]

@inproceedings{NageshMNRSW23,
  title = {Explaining a machine learning decision to physicians via counterfactuals},
  author = {Supriya Nagesh and Nina Mishra and Yonatan Naamad and James M. Rehg and Mehul A. Shah and Alexei Wagner},
  year = {2023},
  url = {https://proceedings.mlr.press/v209/nagesh23a.html},
  researchr = {https://researchr.org/publication/NageshMNRSW23},
  cites = {0},
  citedby = {0},
  pages = {556-577},
  booktitle = {Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA},
  editor = {Bobak J. Mortazavi and Tasmie Sarker and Andrew Beam and Joyce C. Ho},
  volume = {209},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}