Conference proceeding
An infrastructure of stream data mining, fusion and management for monitored patients
Proceedings / IEEE International Symposium on Computer-Based Medical Systems, v 2006, pp 461-468
01 Jan 2006
Abstract
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.
Metrics
Details
- Title
- An infrastructure of stream data mining, fusion and management for monitored patients
- Creators
- Hyoil Han - Drexel UniversityHan C. Ryoo - Drexel Univ, Sch Biomed Engn Sci & Hlth Syst, Philadelphia, PA 19104 USAHerbert Patrick - Drexel Univ, Coll Med, Philadelphia, PA 19104 USA
- Publication Details
- Proceedings / IEEE International Symposium on Computer-Based Medical Systems, v 2006, pp 461-468
- Series
- IEEE International Symposium on Computer-Based Medical Systems
- Publisher
- IEEE
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- College of Medicine; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000240724000077
- Scopus ID
- 2-s2.0-33845581856
- Other Identifier
- 991014632617704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Engineering, Electrical & Electronic