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Title: Realizing knowledge assets in the medical sciences with data mining: an overview. Creating knowledge-based healthcare organizations.
Authors: Wickramasinghe, Nilmini
Editors: Wickramasinghe, Nilmini
Gupta, Jatinder N.D.
Sharma, Sushil
Other Authors: Fadlalla, Adam
Keywords: Data Mining Techniques
Knowledge Assets
Methods Of Diagnosis
Data Mining
Knowledge Management
Knowledge Utilization
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2005
Publisher: Hershey, PA: Idea Group Publishing
Abstract: This chapter provides insight into various areas within the medical field that strive to take advantage of different data mining techniques in order to realize the full potential of their knowledge assets. Specifically, this is done by discussing many of the limitations associated with conventional methods of diagnosis and showing how data mining can be used to improve these methods. Comparative analyses of different techniques associated with various areas within the medical field are outlined in order to identify the right technique for particular medical specialties. Furthermore, suggestions are provided to appropriately utilize the various data mining techniques thereby leading to effective and efficient knowledge management and knowledge utilization. In this chapter we highlight the potential of data mining in improving the exploratory as well as the predictive capabilities of conventional diagnostic methods in medical science.
DOI: 10.4018/978-1-59140-459-0.ch013
ISBN: 9781591404590
Type: Chapter
Affiliated Organisations: Health Informatics
Illinois Institute of Technology, USA
University of Alabama in Huntsville, USA
Ball State University, USA
Appears in Collections:Health Informatics

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