Vithya Yogarajan
Vithya Yogarajan
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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
A survey of automatic de-identification of longitudinal clinical narratives
V Yogarajan, M Mayo, B Pfahringer
arXiv preprint arXiv:1810.06765, 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
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
Applying the Reason Model to enhance health record research in the age of'big data'.
R Ragupathy, V Yogarajan
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
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
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
Predicting COVID-19 Patient Shielding: A Comprehensive Study
V Yogarajan, J Montiel, T Smith, B Pfahringer
arXiv preprint arXiv:2110.00183, 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
Research using electronic health records: not all de-identified datasets are created equal
V Yogarajan, R Ragupathy
CSIRO Publishing 11 (1), 14-15, 2019
Domain-specific language models for multi-label classification of medical text
V Yogarajan
PhD Thesis., 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
Adoption of international privacy standards in New Zealand health information research.
V Yogarajan, R Ragupathy
Automatic de-identification of electronic health records using word embeddings.
V Yogarajan
The University of Waikato, Masters Thesis (Machine Learning), 2018
The phase error of explicit Runge-Kutta-Nystrom methods
V Shanmuganathan
The University of Auckland, Masters Thesis (Applied Mathematics), 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, ...
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A Vogel, D Lennon, E Best, A Leversha, R Ragupathy, V Yogarajan
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