Mark Cameron

Learn More
This paper presents a notification system to identify earthquakes from first-hand reports published on Twitter. Tweets from target regions in Australia and New Zealand are checked for earthquake keyword frequency bursts and then processed to identify evidence of an earthquake. The benefit of our earthquake detector is that it relies on evidence of firsthand(More)
Early detection of disease outbreaks is critical for disease spread control and management. In this work we investigate the suitability of statistical machine learning approaches to automatically detect Twitter messages (tweets) that are likely to report cases of possible influenza like illnesses (ILI). Empirical results obtained on a large set of tweets(More)
Sharing health data for research purposes across data custodian boundaries poses technical, organisational and ethical challenges. We describe aservice oriented architecture for aproposed Health Research Data Network (HRDN). The HRDN architecture supports services to manage data access and use by researchers in accordance with individual data custodian(More)
  • 1