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2021

Conference Publication

Towards automatic and interpretable assignments of patients presenting with pain to the emergency department

Hughes, J. A., Brown, N. J., Vu, Thanh and Nguyen, Anthony (2021). Towards automatic and interpretable assignments of patients presenting with pain to the emergency department. Australian Health Informatics Conference (HIC 2020) – Healthier Lives, Digitally Enabled, Online, 5 – 25 November 2020. Amsterdam, Netherlands: IOS Press. doi: 10.3233/SHTI210005

Towards automatic and interpretable assignments of patients presenting with pain to the emergency department

2019

Conference Publication

Identifying patients with pain in emergency departments using conventional machine learning and deep learning

Vu, Thanh, Nguyen, Anthony, Brown, Nathan J. and Hughes, James (2019). Identifying patients with pain in emergency departments using conventional machine learning and deep learning. 17th Annual Workshop of the Australasian Language Technology Association, Sydney, NSW, Australia, 4-6 December 2019. Sydney, NSW, Australia: Australasian Language Technology Association.

Identifying patients with pain in emergency departments using conventional machine learning and deep learning

2018

Conference Publication

Who is more likely to receive nurse-initiated analgesia in the Emergency Department?

Leskarac, C., Cabilan, C. J., Hughes, J., Eley, R. and Tuckett, A. (2018). Who is more likely to receive nurse-initiated analgesia in the Emergency Department?. Emergency Medicine QLD Autumn Symposium, Brisbane, QLD, Australia, 31 May-1 June 2018.

Who is more likely to receive nurse-initiated analgesia in the Emergency Department?

2017

Conference Publication

Examination of the content and patterns of content in Triage documentation

Jory, M., Hughes, J., Eley, R. and Tuckett, A. (2017). Examination of the content and patterns of content in Triage documentation. Emergency Medicine Research Foundation, Queensland Autumn Symposium, Brisbane / Brisbane Convention Centre, 25-26 May 2017.

Examination of the content and patterns of content in Triage documentation