Research Publications for Vithya Yogarajan

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• Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2021). Transformers for multi-label classification of medical text: an empirical comparison. In A. Tucker, P. Henriques Abreu, J. Cardoso, P. Pereira Rodrigues, & D. Riaño (Eds.), Proc 19th International Conference on Artificial Intelligence in Medicine (AIME 2021), LNCS 12721 (pp. 114-123). Virtual Event: Springer. doi:10.1007/978-3-030-77211-6_12

  Other publications by:
  MONTIEL LOPEZ, Jacob :: YOGARAJAN, Vithya :: SMITH, Anthony C (Tony) :: PFAHRINGER, Bernhard M

• Yogarajan, V., Gouk, H., Smith, T., Mayo, M., & Pfahringer, B. (2020). Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes. In P. Sitek, M. Petranik, M. Krótkiewicz, & C. Srinilta (Eds.), Proc 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020) LNCS 12033 (pp. 97-108). Phuket, Thailand: Springer. doi:10.1007/978-3-030-41964-6_9

  Open Access version at:
  https://hdl.handle.net/10289/13591
  Other publications by:
  YOGARAJAN, Vithya :: SMITH, Anthony C (Tony) :: MAYO, Michael J :: PFAHRINGER, Bernhard M

• Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2020). Seeing the whole patient: Using multi-label medical text classification techniques to enhance predictions of medical codes.. CoRR, abs/2004.00430.

  Other publications by:
  MONTIEL LOPEZ, Jacob :: YOGARAJAN, Vithya :: PFAHRINGER, Bernhard M

• Yogarajan, V., Pfahringer, B., & Mayo, M. (2020). A review of automatic end-to-end de-Identification: Is high accuracy the only metric?. Applied Artificial Intelligence, 34(3), 251-269. doi:10.1080/08839514.2020.1718343

  Other publications by:
  YOGARAJAN, Vithya :: PFAHRINGER, Bernhard M :: MAYO, Michael J

• Mayo, M., & Yogarajan, V. (2019). A nearest neighbour-based analysis to identify patients from continuous glucose monitor data. In N. T. Nguyen, F. L. Gaol, T. P. Hong, & B. Trawinski (Eds.), Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science Vol. 11432 (pp. 349-360). Cham: Springer. doi:10.1007/978-3-030-14802-7_30

  Other publications by:
  MAYO, Michael J :: YOGARAJAN, Vithya

• Yogarajan, V., Pfahringer, B., & Mayo, M. (2019). Automatic end-to-end De-identification: Is high accuracy the only metric?. CoRR, abs/1901.10583.

  Other publications by:
  YOGARAJAN, Vithya :: PFAHRINGER, Bernhard M

• Ragupathy, R., Yogarajan, V., & Luoni, C. (2019). Health information research privacy standards should include Māori perspectives on privacy. New Zealand Medical Journal, 132(1494), 64-67.

  Open Access version at:
  https://hdl.handle.net/10289/12553
  Other publications by:
  YOGARAJAN, Vithya

• Yogarajan, V., & Ragupathy, R. (2019). Research using electronic health records: not all de-identified datasets are created equal. Journal of Primary Health Care, 11(1), 14-15. doi:10.1071/hc19010

  Open Access version at:
  https://hdl.handle.net/10289/12455
  Other publications by:
  YOGARAJAN, Vithya

• Yogarajan, V., & Ragupathy, R. (2019). Adoption of international privacy standards in New Zealand health information research. The New Zealand Medical Journal, 132.

  Open Access version at:
  https://hdl.handle.net/10289/13095
  Other publications by:
  YOGARAJAN, Vithya

• Yogarajan, V., Mayo, M., & Pfahringer, B. (2018). Privacy protection for health information research in New Zealand district health boards. New Zealand Medical Journal, 131(1485), 19-26.

  Open Access version at:
  https://hdl.handle.net/10289/12161
  Other publications by:
  YOGARAJAN, Vithya :: MAYO, Michael J :: PFAHRINGER, Bernhard M