The 29th IEEE International Conference on Data Engineering (Intelligent Data Processing on Health)
Health data, although widely and diligently collected, continue to be under-utilised for research and evaluation. How to make use of the enormous amount of health data efficiently and effectively is one of fundamental issues that health researchers encounter today. Such research holds a great promise to improve the quality of patient care, prevent potential medical errors, and reduce healthcare cost. To accomplish this objective, the collaborations of both practical applications and theoretical research will be essential. Organized in conjunction with the 29th IEEE International Conference on Data Engineering (ICDE 2013), the purpose of IDP'13 is to provide a forum for discussion and interaction among researchers with interests in the cutting edge issues of information Techniques in Health.
Papers are welcome from topics related to various data- and knowledge-based approaches in health domains.
Research topics of interest include, but are not limited to:
- Electronic Health Record Applications and Standards
- Intelligent health records
- Knowledge Representation and Reasoning
- Clinical decision support
- Health information modelling and integration
- Health information retrieval, analysis, visualization and prediction
- Health knowledge discovery and text mining
- Ontology and semantic Web services
- Security, privacy and trust in health domain
- Lessons learned from health information system implementation