DocumentCode :
3261329
Title :
Cooperation Between Abductive and Inductive Nursing Risk Management
Author :
Abe, Akinori ; Ozaku, Hiromi Itoh ; Kuwahara, Noriaki ; Kogure, Kiyoshi
Author_Institution :
ATR Knowledge Sci. Labs., Kyoto
fYear :
2006
fDate :
Dec. 2006
Firstpage :
705
Lastpage :
708
Abstract :
In general risk management, inductive management is usually adopted. If we computationally conduct inductive management, it is vital to collect a considerable number of examples to perform machine learning. In the accident or incident report database home page, we can review various types of accidents or incidents. However, since reports are written by various nurses, the granularity and quality of reports are not sufficient for machine learning. We, therefore, explain the importance of conducting dynamic nursing risk management that can be achieved by abduction, then illustrate cooperation between abductive and inductive types of nursing risk management
Keywords :
cooperative systems; learning by example; medical administrative data processing; risk management; Accident Report Database; Incident Report Database; abductive nursing risk management; dynamic nursing risk management; inductive nursing risk management; machine learning; Accidents; Data mining; Hospitals; Humans; Induction generators; Machine learning; Medical services; Monitoring; Radio frequency; Risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
Type :
conf
DOI :
10.1109/ICDMW.2006.53
Filename :
4063716
Link To Document :
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