An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients

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...

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Published in19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) pp. 461 - 468
Main Authors Han, H., Ryoo, H.C., Patrick, H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Biomedical monitoring
Data mining
Educational institutions
Hospitals
Information management
Knowledge management
Medical diagnostic imaging
Patient monitoring
Query processing
Transaction databases
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Summary: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
ISBN:9780769525174
0769525172
ISSN:1063-7125
DOI:10.1109/CBMS.2006.39