Talks and presentations

Using neural networks and natural language processing to describe antimicrobial usage in companion animal veterinary clinics: overcoming the technological and human challenges.

November 15, 2021

Conference talk, Australian National Antimicrobial Resistance Forum, Brisbane, QLD, Australia

This talk discussed the previuous studies focused on evaluating what can reasonably be extracted out of a clinical record. We found that fewer than 40% of the records have all the data necessary to evaluate whether or not an antimicrobial was given appropriately. Novel neural networks might be able to overcome the difficulties of harvesting free text data from clinical records, but when the essential data is not recorded in the clinic records then the human barrier becomes the insurmountable obstacle.

Using AI to Explore What Drugs are Being Given and Why Out of Clinical Records

August 28, 2020

Talk, 2020 Virtual Talbot Veterinary Informatics Symposium, Online due to COVID-19

This talk discussed our work with VetCompass Australia in extracting medications and the reason for administration from clinical records. Our work demonstrates an end to end approach using artificial intelligence to understand the reason for giving these drugs out of raw clinical text on a population level. This is done through a combination of big data, rules-based algorithms and novel deep learning models.