164 Fadlalla and Wickramasinghe Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Chapter XIII Realizing Knowledge Assets in the Medical Sciences with Data Mining: An Overview Adam Fadlalla, Cleveland State University, USA Nilmini Wickramasinghe, Cleveland State University, USA 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. This chapter appears in the book, Creating Knowledge-Based Healthcare Organizations, edited by Nilmini Wickramasinghe, Jatinder N.D. Gupta and Sushil Sharma. Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033-1240, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.idea-group.com 16*!$" IDEA GROUP PUBLISHING