The project aims at supporting and strengthening capacities and innovation in the area of public health intelligence (PHI) on a global level. Beltus focuses specifically on developing technical solutions within the Epidemic Intelligence from Open Source (EIOS) System. In summary, the EIOS system collates and mines text data, and presents its analyses in a dashboard to aid the detection of public health threats following an all-hazards approach.
By developing and deploying natural language processing-based features to the EIOS system, Beltus together with a dedicated team of experts aim at improving the algorithms in the EIOS system, which is used by experts to detect public health threats from free-text data and other sources. The overall objective being to increase the relevance of detected articles in EIOS in a user-centric way using natural language processing and machine learning methods. Deploying your maintainable, data-driven feature to the productive system of EIOS.