Number of the records: 1
Data Mining and Medical Knowledge Management: Cases and Applications
- 1.
SYSNO ASEP 0323142 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Data, Information and Knowledge. Chapter I Title Data, informace a znalosti (kapitola 1) Author(s) Zvárová, Jana (UIVT-O) SAI, RID, ORCID
Veselý, Arnošt (UIVT-O)
Vajda, Igor (UTIA-B)Source Title Data Mining and Medical Knowledge Management: Cases and Applications. - Hershey : Information Science Reference, 2009 / Berka P. ; Rauch J. ; Zighed D.A. - ISBN 978-1-60566-218-3 Pages s. 1-36 Number of pages 36 s. Number of copy 300 Number of pages 464 Language eng - English Country US - United States Keywords data ; information ; knowledge Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) 1M06014 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) AV0Z10750506 - UTIA-B (2005-2011) EID SCOPUS 78650939243 DOI 10.4018/978-1-60566-218-3.CH001 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2009
Number of the records: 1