Publications & Proceedings
Research focused on healthcare data de-identification, privacy-preserving machine learning,
and clinical NLP — primarily through work at Orion Health and collaboration with the University of Auckland.
Peer-Reviewed Journal & Conference Papers
Understanding the Effects of Mitigation on De-identified Data
Chester, A., Koh, Y.S., Lee, J.
Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. IEA/AIE 2021, vol 12798. Springer, Cham.
Balancing Utility and Fairness against Privacy in Medical Data
Chester, A., Koh, Y.S., Lee, J., Wicker, J., Sun, Q.
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text
Singh, B., Sun, Q., Koh, Y.S., Lee, J., Zhang, E.
2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)
Health Informatics New Zealand Presentations
Enabling De-Identification of New Zealand Clinical Free-texts Using Machine Learning and Rule Engine
Health Informatics New Zealand, 2023
The Journey Toward Standardized, Smart De-Identification
Health Informatics New Zealand, 2022
Machine-Aided HL7 Message Transformation Framework
Health Informatics New Zealand, 2019
End-to-End De-Identification Framework
Health Informatics New Zealand, 2018