1. Aramaki, E., Imai, T., Miyo, K., Ohe, K., 2006. Automatic deidentification by using sentence features and label consistency.
2. Development and evaluation of an open source software tool for deidentification of pathology reports;Beckwith;BMC Medical Informatics and Decision Making,2006
3. Concept-match medical data scrubbing. how pathology text can be used in research;Berman;Archives of pathology & laboratory medicine 127,2003
4. Calzolari, N., Choukri, K., Declerck, T., Loftsson, H., Maegaard, B., Mariani, J., Moreno, A., Odijk, J., Piperidis, S. (Eds.), 2014. Proceedings of the Ninth International Conference on Language Resources and Evaluation, LREC 2014, European Language Resources Association (ELRA), Reykjavík, Iceland. URL: http://www.lrec-conf.org/proceedings/lrec2014/index.html.
5. Cerbo, F., Trabelsi, S., 2018. Towards personal data identification and anonymization using machine learning techniques, in: ADBIS.