| A review of automatic end-to-end de-identification: Is high accuracy the only metric? V Yogarajan, B Pfahringer, M Mayo Applied Artificial Intelligence 34 (3), 251-269, 2020 | 15 | 2020 |
| A survey of automatic de-identification of longitudinal clinical narratives V Yogarajan, M Mayo, B Pfahringer arXiv preprint arXiv:1810.06765, 2018 | 13 | 2018 |
| Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes V Yogarajan, H Gouk, T Smith, M Mayo, B Pfahringer Asian Conference on Intelligent Information and Database Systems, 97-108, 2020 | 8 | 2020 |
| 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 | 6 | 2018 |
| Applying the Reason Model to enhance health record research in the age of'big data'. R Ragupathy, V Yogarajan | 5 | 2018 |
| Transformers for Multi-label Classification of Medical Text: An Empirical Comparison V Yogarajan, J Montiel, T Smith, B Pfahringer International Conference on Artificial Intelligence in Medicine, 114-123, 2021 | 4 | 2021 |
| Seeing the whole patient: Using multi-label medical text classification techniques to enhance predictions of medical codes V Yogarajan, J Montiel, T Smith, B Pfahringer arXiv preprint arXiv:2004.00430, 2020 | 4 | 2020 |
| Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents V Yogarajan, B Pfahringer, T Smith, J Montiel arXiv preprint arXiv:2112.01718, 2021 | 1 | 2021 |
| Predicting COVID-19 Patient Shielding: A Comprehensive Study V Yogarajan, J Montiel, T Smith, B Pfahringer arXiv preprint arXiv:2110.00183, 2021 | 1 | 2021 |
| 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 | 1 | 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 | 1 | 2019 |
| Domain-specific language models for multi-label classification of medical text V Yogarajan PhD Thesis., 2022 | | 2022 |
| 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 |
| Automatic de-identification of electronic health records using word embeddings. V Yogarajan The University of Waikato, Masters Thesis (Machine Learning), 2018 | | 2018 |
| The phase error of explicit Runge-Kutta-Nystrom methods V Shanmuganathan The University of Auckland, Masters Thesis (Applied Mathematics), 2007 | | 2007 |
| Language Models for Code-switch Detection of te reo Maori and English in a Low-resource Setting J James, V Yogarajan, I Shields, C Watson, PJ Keegan, PL Jones, ... | | |
| Search Site A Vogel, D Lennon, E Best, A Leversha, R Ragupathy, V Yogarajan | | |
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
