| Applying the Reason Model to enhance health record research in the age of'big data'. R Ragupathy, V Yogarajan | 6 | 2018 |
| A survey of automatic de-identification of longitudinal clinical narratives V Yogarajan, M Mayo, B Pfahringer arXiv preprint arXiv:1810.06765, 2018 | 5 | 2018 |
| Privacy protection for health information research in New Zealand district health boards V Yogarajan, M Mayo, B Pfahringer New Zealand Medical Association 131 (1485), 19-26, 2018 | 5 | 2018 |
| A nearest neighbour-based analysis to identify patients from continuous glucose monitor data M Mayo, V Yogarajan Asian Conference on Intelligent Information and Database Systems, 349-360, 2019 | 2 | 2019 |
| A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric? V Yogarajan, B Pfahringer, M Mayo Applied Artificial Intelligence, 1-19, 2020 | | 2020 |
| Health information research privacy standards should include Māori perspectives on privacy R Ragupathy, V Yogarajan, C Luoni New Zealand Medical Association 132 (1494), 64-67, 2019 | | 2019 |
| Adoption of international privacy standards in New Zealand health information research. V Yogarajan, R Ragupathy | | 2019 |
| Research using electronic health records: not all de-identified datasets are created equal V Yogarajan, R Ragupathy CSIRO Publishing 11 (1), 14-15, 2019 | | 2019 |
| Automatic de-identification of electronic health records using word embeddings. V Yogarajan The University of Waikato, Masters Thesis, 2018 | | 2018 |
Michael MayoUniversity of WaikatoVerified email at waikato.ac.nz
