Informační systém MU
LIDMAN, Petr, Zdenko STANÍČEK, Filip PROCHÁZKA, Ladislav DUŠEK, Jiří JARKOVSKÝ and Eva BUDINSKÁ. Rule-based systems: employing intelligent computer assistant in biomedicine & clinical practice. In Proceedings of 1st International Summer School on Computational Biology. Brno: Masarykova univerzita, 2005, p. 100-104. ISBN 80-210-3907-8.
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Basic information
Original name Rule-based systems: employing intelligent computer assistant in biomedicine & clinical practice
Name in Czech Pravidlové systémy: využití inteligentního počítačového asistenta v biomedicíně a klinické praxi
Authors LIDMAN, Petr (203 Czech Republic), Zdenko STANÍČEK (203 Czech Republic), Filip PROCHÁZKA (203 Czech Republic), Ladislav DUŠEK (203 Czech Republic, guarantor), Jiří JARKOVSKÝ (203 Czech Republic) and Eva BUDINSKÁ (703 Slovakia).
Edition Brno, Proceedings of 1st International Summer School on Computational Biology, p. 100-104, 2005.
Publisher Masarykova univerzita
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/05:00013456
Organization unit Faculty of Informatics
ISBN 80-210-3907-8
Keywords in English biomedicine; epidemiology; national cancer register; microarray; microarrays; artificial intelligence; uiron; oncology; machine learning; intelligent assistant; business rules engine
Tags Artificial Intelligence, biomedicine, business rules engine, epidemiology, intelligent assistant, machine learning, microarray, microarrays, national cancer register, oncology, uiron
Changed by Changed by: Mgr. Petr Lidman, učo 3619. Changed: 6/2/2006 18:42.
Abstract
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Abstract (in Czech)
Popis nezadán.
Links
1ET208120511, research and development projectName: Implementace a validace robustního znalostního analytického systému UIRON pro oblast onkologie
Investor: Academy of Sciences of the Czech Republic, Implementation and validation of robust knowledge management and analytical system UIRON for oncology
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