An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout

Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur. An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. In Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco 0001, Zbigniew W. Ras, editors, Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings. Volume 13515 of Lecture Notes in Computer Science, pages 149-161, Springer, 2022. [doi]

@inproceedings{PillaiAFKCM22,
  title = {An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout},
  author = {Malvika Pillai and Karthik Adapa and Meagan Foster and Ian Kratzke and Nadia Charguia and Lukasz Mazur},
  year = {2022},
  doi = {10.1007/978-3-031-16564-1_15},
  url = {https://doi.org/10.1007/978-3-031-16564-1_15},
  researchr = {https://researchr.org/publication/PillaiAFKCM22},
  cites = {0},
  citedby = {0},
  pages = {149-161},
  booktitle = {Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings},
  editor = {Michelangelo Ceci and Sergio Flesca and Elio Masciari and Giuseppe Manco 0001 and Zbigniew W. Ras},
  volume = {13515},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16564-1},
}