A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records

Rosario Catelli, Francesco Gargiulo 0001, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito. A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records. IEEE Access, 9:19097-19110, 2021. [doi]

@article{CatelliGCPFE21,
  title = {A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records},
  author = {Rosario Catelli and Francesco Gargiulo 0001 and Valentina Casola and Giuseppe De Pietro and Hamido Fujita and Massimo Esposito},
  year = {2021},
  doi = {10.1109/ACCESS.2021.3054479},
  url = {https://doi.org/10.1109/ACCESS.2021.3054479},
  researchr = {https://researchr.org/publication/CatelliGCPFE21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {9},
  pages = {19097-19110},
}