Body sensor data processing using stream computing
Proceedings of the international conference on Multimedia information retrieval
Mining based decision support multi-agent system for personalized e-healthcare service
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
On the integration of an artifact system and a real-time healthcare analytics system
Proceedings of the 1st ACM International Health Informatics Symposium
Anomaly management using complex event processing: extending data base technology paper
Proceedings of the 16th International Conference on Extending Database Technology
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This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, fusion, and management provide efficient ways to increase data utilization and to support knowledge discovery, which can be utilized in many clinical areas to improve the quality of patient care services. The primary goal of our work is to establish a customized infrastructure model designed for critical care services at hospitals. However this structure can be easily expanded to other areas of clinical specialties.