Crowdbreaks

Crowdbreaks is a crowdsourced disease surveillance system designed to track trends about health and disease-related issues in real-time across different countries. By obtaining feedback from users the system will eventually improve and be able to draw more accurate conclusions about these issues.

Crowdbreaks collects tweets with keywords that might be related to specific health topics. By using natural language processing and machine learning techniques the system tries to filter relevant from non-relevant content. By providing more meta information (labelling) of the tweets, these algorithms will continuously improve to detect tweets which are truly relevant and understand their content.