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Data, Information and Knowledge
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Author(s): Jana Zvárová (Institute of Computer Science of the Academy of Sciences of the Czech Republic and the Center of Biomedical Informatics, Czech Republic)and Arnošt Veselý (Institutes of Computer Science and Information Theory and Automation of the Academy of Sciences of the Czech Republic v.v.i., Czech Republic)
Copyright: 2009
Pages: 36
Source title:
Data Mining and Medical Knowledge Management: Cases and Applications
Source Author(s)/Editor(s): Petr Berka (University of Economics, Prague, Czech Republic), Jan Rauch (University of Economics, Prague, Czech Republic)and Djamel Abdelkader Zighed (University of Lumiere Lyon 2, France)
DOI: 10.4018/978-1-60566-218-3.ch001
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Abstract
This chapter introduces the basic concepts of medical informatics: data, information, and knowledge. Data are classified into various types and illustrated by concrete medical examples. The concept of knowledge is formalized in the framework of a language related to objects, properties, and relations within ontology. Various aspects of knowledge are studied and illustrated on examples dealing with symptoms and diseases. Several approaches to the concept of information are systematically studied, namely the Shannon information, the discrimination information, and the decision information. Moreover, information content of theoretical knowledge is introduced. All these approaches to information are illustrated on one simple medical example.
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