Evaluation of automated deidentification of general practice free text health records

  • Professor
    Douglas Boyle

Research Outcomes

Research Publications

El-Hayek, C., Barzegar, S., Faux, N., Doyle, K., Pillai, P., Mutch, S. J., Vaisey, A., Ward, R., Sanci, L., Dunn, A. G., Hellard, M. E., Hocking, J. S., Verspoor, K., & Boyle, D. I. R. (2023). An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice. International Journal of Medical Informatics, 173, 105021. ISSN 1386-5056. doi: 10.1016/j.ijmedinf.2023.105021.

Research Group

Health Data Science for Medical Research

Key Contact

For further information about this research, please contact the research group leader.

Department / Centre

General Practice and Primary Care Research

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