%0 Conference Paper %1 conf/cbms/CarmonaCC19 %A Carmona, Fer %A Conesa, Jordi %A Casas-Roma, Jordi %B CBMS %D 2019 %I IEEE %K dblp %P 604-608 %T Towards the Analysis of How Anonymization Affects Usefulness of Health Data in the Context of Machine Learning. %U http://dblp.uni-trier.de/db/conf/cbms/cbms2019.html#CarmonaCC19 %@ 978-1-7281-2286-1

@inproceedings{conf/cbms/CarmonaCC19, added-at = {2022-04-09T00:00:00.000+0200}, author = {Carmona, Fer and Conesa, Jordi and Casas-Roma, Jordi}, biburl = {https://www.bibsonomy.org/bibtex/23d6244c358e35c897bfb7365a66f249d/dblp}, booktitle = {CBMS}, crossref = {conf/cbms/2019}, ee = {https://doi.org/10.1109/CBMS.2019.00126}, interhash = {bf63a691e057ffe8340828ee8b995e83}, intrahash = {3d6244c358e35c897bfb7365a66f249d}, isbn = {978-1-7281-2286-1}, keywords = {dblp}, pages = {604-608}, publisher = {IEEE}, timestamp = {2024-04-10T21:55:57.000+0200}, title = {Towards the Analysis of How Anonymization Affects Usefulness of Health Data in the Context of Machine Learning.}, url = {http://dblp.uni-trier.de/db/conf/cbms/cbms2019.html#CarmonaCC19}, year = 2019 }