Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical RecordsUnstructured information in electronic health records provide an invaluable resource for medical research. To protect the confidentiality of patients and to conform to privacy regulations, de-identification methods automatically remove personally identifying information from these medical records. However, due to the unavailability of labeled data, most existing research is constrained to English
De-identification of Electronic Health Records using NLP
