Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models

MLA

Mohamed El Azzouzi, et al. “Automatic De-Identification of French Electronic Health Records: A Cost-Effective Approach Exploiting Distant Supervision and Deep Learning Models.” BMC Medical Informatics and Decision Making, vol. 24, no. 1, Feb. 2024, pp. 1–18. EBSCOhost, https://doi.org/10.1186/s12911-024-02422-5.

APA

Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia, & Guillaume Bouzillé. (2024). Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models. BMC Medical Informatics and Decision Making, 24(1), 1–18. https://doi.org/10.1186/s12911-024-02422-5

Chicago

Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia, and Guillaume Bouzillé. 2024. “Automatic De-Identification of French Electronic Health Records: A Cost-Effective Approach Exploiting Distant Supervision and Deep Learning Models.” BMC Medical Informatics and Decision Making 24 (1): 1–18. doi:10.1186/s12911-024-02422-5.