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20232025
most citedSynthetic4Health: Generating Annotated Synthetic Clinical Letters

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2025

Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs

Mingyang Li, Viktor Schlegel, Tingting Mu +2

Mapping clinical documents to standardised clinical vocabularies is an important task, as it provides structured data for information retrieval and analysis, which is essential to…

cs.CL2025

Privacy-Preserving Generation of Clinical Narratives from Medical Terminologies

Yuping Wu, Viktor Schlegel, Warren Del-Pinto +11

In high-stakes domains such as healthcare, privacy concerns severely limit the use of real-world training data. Differentially private (DP) synthetic data offers a promising altern…

cs.CL2024

DeIDClinic: A Risk-Aware Pseudonymization Framework for Clinical Text De-identification and Re-identification Risk Assessment

Angel Paul, Dhivin Shaji, Lifeng Han +3

The increasing availability of sensitive textual data has created an urgent need for robust de-identification methods that enable compliant data sharing while preserving downstream…

cs.CL2024★ 1 cited

Synthetic4Health: Generating Annotated Synthetic Clinical Letters

Libo Ren, Samuel Belkadi, Lifeng Han +2

Since clinical letters contain sensitive information, clinical-related datasets can not be widely applied in model training, medical research, and teaching. This work aims to gener…

cs.CL2023

Generating Medical Prescriptions with Conditional Transformer

Samuel Belkadi, Nicolo Micheletti, Lifeng Han +2

Access to real-world medication prescriptions is essential for medical research and healthcare quality improvement. However, access to real medication prescriptions is often limite…