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  • Nowadays many real-world medical problems are being assessed with tools for automatic intelligent data analysis. Many different methods have been developed to improve the quality of analysis for specific domain. Application of method in specific domain requires special characteristics. For instance methods based on artificial neural network are capable of generalisation of nonlinearly separable problems but have poor explanatory power. Therefore we focused on methods which are capable of extracting knowledge in a form closer to human perception, e.g. methods that induce decision trees, classification rules, etc.
  • Nowadays many real-world medical problems are being assessed with tools for automatic intelligent data analysis. Many different methods have been developed to improve the quality of analysis for specific domain. Application of method in specific domain requires special characteristics. For instance methods based on artificial neural network are capable of generalisation of nonlinearly separable problems but have poor explanatory power. Therefore we focused on methods which are capable of extracting knowledge in a form closer to human perception, e.g. methods that induce decision trees, classification rules, etc. (en)
Title
  • Intelligent Medical Data Analysis
  • Intelligent Medical Data Analysis (en)
skos:prefLabel
  • Intelligent Medical Data Analysis
  • Intelligent Medical Data Analysis (en)
skos:notation
  • RIV/68407700:21220/03:03093762!RIV/2004/MSM/212204/N
http://linked.open.../vavai/riv/strany
  • 912 ; 913
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 210000012)
http://linked.open...vai/riv/dodaniDat
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 610792
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21220/03:03093762
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  • analysis; human perception; medicine; methods that induce decision trees (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [79A2EAECF5A1]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Workshop 2003
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  • Kubalík, Jiří
  • Lhotská, Lenka
  • Klema, Jiří
  • Palouš, Jiří
  • Kokol, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 80-01-02708-2
http://localhost/t...ganizacniJednotka
  • 21220
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