Machine Learning in Medicine: To Explain, or Not to Explain, That Is the Question

Cédric Bousquet, Diva Beltramin. Machine Learning in Medicine: To Explain, or Not to Explain, That Is the Question. In Brigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna 0001, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos, editors, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022. Volume 294 of Studies in Health Technology and Informatics, pages 114-115, IOS Press, 2022. [doi]

@inproceedings{BousquetB22,
  title = {Machine Learning in Medicine: To Explain, or Not to Explain, That Is the Question},
  author = {Cédric Bousquet and Diva Beltramin},
  year = {2022},
  doi = {10.3233/SHTI220407},
  url = {https://doi.org/10.3233/SHTI220407},
  researchr = {https://researchr.org/publication/BousquetB22},
  cites = {0},
  citedby = {0},
  pages = {114-115},
  booktitle = {Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022},
  editor = {Brigitte Séroussi and Patrick Weber and Ferdinand Dhombres and Cyril Grouin and Jan-David Liebe and Sylvia Pelayo and Andrea Pinna 0001 and Bastien Rance and Lucia Sacchi and Adrien Ugon and Arriel Benis and Parisis Gallos},
  volume = {294},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-285-3},
}