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8. Conclusion
In this chapter, we described the relationships among data, knowledge, and intelligence. We
proposed one reasoning theory: evidence based reasoning theory. We gave the Java code for
the implementation of a prototype. The future work includes more detailed mapping
between the evidence strength value and its percentage change; the implementation of
missing components such as the knowledge database, the beef up of the watered down
9. Acknowledgement
I want to give thanks to my family for their support for this topic writing project: Enlu Peng,
Yuqing Peng, and Daniel Jian.
10. References
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Bellinger, G. (2004). Knowledge Management—Emerging Perspectives, (Internet resouce: Retrieved on 5/30/2011)
Fujita, H.; and et al. (2010). Virtual Doctor System (VDS): Medical Decision Reasoning Based
On Physical and Mental Ontologies, In Proceedings of IEA/AIE'10 Proceedings of the
23rd international conference on Industrial engineering and other applications of applied
intelligent systems , Volume Part III, 2010
Jin, X.; and et al. (2007). Automatic Web Pages Categorization with ReliefF and Hidden
Naive Bayes , In Proceedings of SAC 2007 , pp. 617-621, Seoul, Korea, March, 2007
Kasper, D.; and et al. (2005). Harrison's Principles of Internal Medicine (Sixteenth Edition),
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Williams, L. & Hopper, P. (2003). Understaning Medical Surgical Nursing (2nd Edition), F. A.
Davis Company, ISBN 0-8036-1037-8, Philadelphia, PA, USA
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