8 citations · 8 across the 6 of their papers we have counts for
7 papers
DP-IPI: A Hybrid Differential Privacy Text Rewriting Mechanism for Indirect Personal Identifiers in Clinical Texts
Ibrahim Baroud, Stephen Meisenbacher, Sebastian Möller +2
Despite the strengths of modern anonymization and de-identification techniques, the risk of re-identification remains significant due to the indirect identifiers remaining in texts…
DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
Roland Roller, Vera Czehmann, Derya Erman +13
Conversational data collected in domains such as healthcare or social sciences is a valuable resource for research and automated analysis. However, responsible data sharing require…
MultiGraSCCo: A Multilingual Anonymization Benchmark with Annotations of Personal Identifiers
Ibrahim Baroud, Christoph Otto, Vera Czehmann +4
Accessing sensitive patient data for machine learning is challenging due to privacy concerns. Datasets with annotations of personally identifiable information are crucial for devel…
Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes
Johann Frei, Nils Feldhus, Lisa Raithel +3
For clinical data integration and healthcare services, the HL7 FHIR standard has established itself as a desirable format for interoperability between complex health data. Previous…
Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts
Ibrahim Baroud, Lisa Raithel, Sebastian Möller +1
Sharing sensitive texts for scientific purposes requires appropriate techniques to protect the privacy of patients and healthcare personnel. Anonymizing textual data is particularl…
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada +11
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world. However,…
xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization
Florian Borchert, Ignacio Llorca, Roland Roller +2
Objective: To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to English. Materials and M…