Add to ORKGIn this work, we propose a bootstrapping strategy so as to enrich anonymization models for Catalan medical reports taking profit of huge sets of unlabeled documents
Often organizations release and receive medical data with all explicit identifiers, such as name, ad...
K-anonymization is a wide-spread technique for the de-identification of biomedical datasets. To not ...
Health data anonymization is a hot topic, on which both the medical and the computer science communi...
In this work, we propose a bootstrapping strategy so as to enrich anonymization models for Catalan m...
Proceedings of: The International Conference on Knowledge Discovery and Information Retrieval, Octob...
This work focuses on the automatic de-identification of clinical records. The de-identification cons...
The Electronic Patient Record (EPR) is both a legal document and a tool for use by physicians and ot...
This paper presents a new technique for anonymizing personal data for studies in which the real name...
Abstract Background Publishing raw electronic health records (EHRs) may be considered as a breach of...
AbstractObjectiveWith the ARX data anonymization tool structured biomedical data can be de-identifie...
In the past few years, several datasets that include privacy-sensitive information have been taken o...
Sharing data is an important part of the progress of science in many fields. In the largely deep lea...
We present a computer program named Datafly that uses computational disclosure techniques to maintai...
Abstract—The quality of life has been significantly improved and one of the main reasons is the medi...
International audiencePatient medical data is extremely sensitive and private, and thus subject to n...
Often organizations release and receive medical data with all explicit identifiers, such as name, ad...
K-anonymization is a wide-spread technique for the de-identification of biomedical datasets. To not ...
Health data anonymization is a hot topic, on which both the medical and the computer science communi...
In this work, we propose a bootstrapping strategy so as to enrich anonymization models for Catalan m...
Proceedings of: The International Conference on Knowledge Discovery and Information Retrieval, Octob...
This work focuses on the automatic de-identification of clinical records. The de-identification cons...
The Electronic Patient Record (EPR) is both a legal document and a tool for use by physicians and ot...
This paper presents a new technique for anonymizing personal data for studies in which the real name...
Abstract Background Publishing raw electronic health records (EHRs) may be considered as a breach of...
AbstractObjectiveWith the ARX data anonymization tool structured biomedical data can be de-identifie...
In the past few years, several datasets that include privacy-sensitive information have been taken o...
Sharing data is an important part of the progress of science in many fields. In the largely deep lea...
We present a computer program named Datafly that uses computational disclosure techniques to maintai...
Abstract—The quality of life has been significantly improved and one of the main reasons is the medi...
International audiencePatient medical data is extremely sensitive and private, and thus subject to n...
Often organizations release and receive medical data with all explicit identifiers, such as name, ad...
K-anonymization is a wide-spread technique for the de-identification of biomedical datasets. To not ...
Health data anonymization is a hot topic, on which both the medical and the computer science communi...