Towards the Analysis of How Anonymization Affects Usefulness of Health Data in the Context of Machine Learning
Published in 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: F. Carmona, J. Conesa and J. Casas-Roma, "Towards the Analysis of How Anonymization Affects Usefulness of Health Data in the Context of Machine Learning," 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, 2019, pp. 604-608, https://doi.org/10.1109/CBMS.2019.00126
Download Paper
