"21230" . . "2007-02-19+01:00"^^ . "1"^^ . . . "1"^^ . "Praha" . . "Semantic Annotation of Medical Records"@en . "Praha" . "information extraction; named entity recognition; semantic annotation"@en . "Semantic Annotation of Medical Records"@en . "2"^^ . "RIV/68407700:21230/07:03129168" . . "Semantic Annotation of Medical Records" . "S" . . . "978-80-01-03667-9" . "Machine learning and data mining (DM) offer numerous semi-automated methods how to find characteristic patterns and gain better insight into data records stored in computer databases. DM cannot be applied directly to the medical records, since their basic format is a text file written in a natural language. Therefore it is necessary to transform the data in patients' text files into a structured form by means of semantic annotation. We propose a method for semi-automated semantic annotation consisting of named entity recognition using conditional random fields and manual annotation of relations."@en . . . "Proceedings of Workshop 2007" . . . . "Semantic Annotation of Medical Records" . "[963853865638]" . "Metody strojov\u00E9ho u\u010Den\u00ED nemohou b\u00FDt aplikov\u00E1ny p\u0159\u00EDmo na l\u00E9ka\u0159sk\u00E9 zpr\u00E1vy, kter\u00E9 jsou v\u011Bt\u0161inou ve form\u011B textov\u00FDch soubor\u016F. Proto je nutn\u00E9 p\u0159ev\u00E9st informace obsa\u017Een\u00E9 v l\u00E9ka\u0159sk\u00FDch zpr\u00E1v\u00E1ch do strukturovan\u00E9 podoby. P\u0159estavujeme syst\u00E9m pro semi-automatickou s\u00E9mantickou anotaci l\u00E9ka\u0159sk\u00FDch z\u00E1znam\u016F, kter\u00E1 spo\u010D\u00EDv\u00E1 v automatick\u00E9 extrakci pojm\u016F s vyu\u017Eit\u00EDm metody podm\u00EDn\u011Bn\u00FDch n\u00E1hodn\u00FDch pol\u00ED a manu\u00E1ln\u00ED extrakci vztah\u016F mezi nimi."@cs . . "S\u00E9mantick\u00E1 anotace l\u00E9ka\u0159sk\u00FDch z\u00E1znam\u016F"@cs . "S\u00E9mantick\u00E1 anotace l\u00E9ka\u0159sk\u00FDch z\u00E1znam\u016F"@cs . . "RIV/68407700:21230/07:03129168!RIV09-MSM-21230___" . "Machine learning and data mining (DM) offer numerous semi-automated methods how to find characteristic patterns and gain better insight into data records stored in computer databases. DM cannot be applied directly to the medical records, since their basic format is a text file written in a natural language. Therefore it is necessary to transform the data in patients' text files into a structured form by means of semantic annotation. We propose a method for semi-automated semantic annotation consisting of named entity recognition using conditional random fields and manual annotation of relations." . "\u017D\u00E1kov\u00E1, Monika" . "449347" . "\u010Cesk\u00E9 vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Praze" . .