. . . . "analysis; human perception; medicine; methods that induce decision trees"@en . . "Proceedings of Workshop 2003" . "4"^^ . . "RIV/68407700:21220/03:03093762!RIV/2004/MSM/212204/N" . "Praha" . "Praha" . "Intelligent Medical Data Analysis"@en . "RIV/68407700:21220/03:03093762" . . . "Kokol, P." . "[79A2EAECF5A1]" . . . . . "2"^^ . "Z(MSM 210000012)" . "610792" . "Klema, Ji\u0159\u00ED" . . "Intelligent Medical Data Analysis" . "Palou\u0161, Ji\u0159\u00ED" . "2003-02-10+01:00"^^ . . "80-01-02708-2" . "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 . "\u010Cesk\u00E9 vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Praze" . "21220" . "Lhotsk\u00E1, Lenka" . "912 ; 913" . . . "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." . . . "5"^^ . "Kubal\u00EDk, Ji\u0159\u00ED" . . "Intelligent Medical Data Analysis"@en . . "Intelligent Medical Data Analysis" .