The Biodata Mining research programs undertake research into:
- Cancer informatics
- Artificial intelligence
- Systems level bio-modelling
- Comparative genomics
Our students, while developing and enriching our software, have the chance to develop their independence in data collection and analysis.
Our researchers analyse a wealth of data including, user and family's medical histories, life style and interests. The mining of such data using this background knowledge ensures e-Health systems are able to provide users with personalised services and treatment.
Existing techniques are incompetent because user documents will usually have a complex structure with heterogeneous, changing topics. The knowledge bases employed usually contain massive concepts that are difficult to handle. Our project aims to develop an innovative methodology to analyse the user's local documents and build new user profiles using a world ontology.
The project also aims at deepening the connection between text analysis techniques and personalised applications in e-Health from traditional to personalised forms.