Machine Learning Explainability in Breast Cancer Survival. Jansen, T., Geleijnse, G., Maaren, M. V., Hendriks, M. P., ten Teije, A., & Moncada-Torres, A. In Pape-Haugaard, L. B., Lovis, C., Madsen, I. C., Weber, P., Nielsen, P. H., & Scott, P., editors, Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28 - May 1, 2020, volume 270, of Studies in Health Technology and Informatics, pages 307–311, 2020. IOS Press.
Machine Learning Explainability in Breast Cancer Survival [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/mie/JansenGMHTM20,
  author    = {Tom Jansen and
               Gijs Geleijnse and
               Marissa Van Maaren and
               Mathijs P. Hendriks and
               Annette ten Teije and
               Arturo Moncada{-}Torres},
  editor    = {Louise Bilenberg Pape{-}Haugaard and
               Christian Lovis and
               Inge Cort Madsen and
               Patrick Weber and
               Per Hostrup Nielsen and
               Philip Scott},
  title     = {Machine Learning Explainability in Breast Cancer Survival},
  booktitle = {Digital Personalized Health and Medicine - Proceedings of {MIE} 2020,
               Medical Informatics Europe, Geneva, Switzerland, April 28 - May 1,
               2020},
  series    = {Studies in Health Technology and Informatics},
  volume    = {270},
  pages     = {307--311},
  publisher = {{IOS} Press},
  year      = {2020},
  url       = {https://doi.org/10.3233/SHTI200172},
  doi       = {10.3233/SHTI200172},
  timestamp = {Wed, 03 Feb 2021 08:36:32 +0100},
  biburl    = {https://dblp.org/rec/conf/mie/JansenGMHTM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0