Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence

Fredrik A. Fineide, Andrea M. Storås, Michael A. Riegler, Tor Paaske Utheim. Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence. In João Rafael Almeida, Myra Spiliopoulou, José Alberto Benítez-Andrades, Giuseppe Placidi, Alejandro Rodríguez González, Rosa Sicilia, Bridget Kane, editors, 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L'Aquila, Italy, June 22-24, 2023. pages 366-373, IEEE, 2023. [doi]

@inproceedings{FineideSRU23,
  title = {Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence},
  author = {Fredrik A. Fineide and Andrea M. Storås and Michael A. Riegler and Tor Paaske Utheim},
  year = {2023},
  doi = {10.1109/CBMS58004.2023.00245},
  url = {https://doi.org/10.1109/CBMS58004.2023.00245},
  researchr = {https://researchr.org/publication/FineideSRU23},
  cites = {0},
  citedby = {0},
  pages = {366-373},
  booktitle = {36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L'Aquila, Italy, June 22-24, 2023},
  editor = {João Rafael Almeida and Myra Spiliopoulou and José Alberto Benítez-Andrades and Giuseppe Placidi and Alejandro Rodríguez González and Rosa Sicilia and Bridget Kane},
  publisher = {IEEE},
  isbn = {979-8-3503-1224-9},
}