About: Novel Nature Inspired Techniques in Medical Information Retrieval

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.springerlink.com/content/h50tk543g2535736/
Description	In this work we have studied, evaluated and proposed different swarm intelligence techniques for mining information from loosely structured medical textual records with no apriori knowledge. We describe the process of mining a large dataset of ~50,000-120,000 records x 20 attributes in DB tables, originating from the hospital information system recording over 10 years. This paper concerns only textual attributes with free text input, that means 613,000 text fields in 16 attributes. Each attribute item contains ~800-1,500 characters (diagnoses, medications, etc.). The output of this task is a set of ordered/nominal attributes suitable for rule discovery mining. In this work we have studied, evaluated and proposed different swarm intelligence techniques for mining information from loosely structured medical textual records with no apriori knowledge. We describe the process of mining a large dataset of ~50,000-120,000 records x 20 attributes in DB tables, originating from the hospital information system recording over 10 years. This paper concerns only textual attributes with free text input, that means 613,000 text fields in 16 attributes. Each attribute item contains ~800-1,500 characters (diagnoses, medications, etc.). The output of this task is a set of ordered/nominal attributes suitable for rule discovery mining. (en)
Title	Novel Nature Inspired Techniques in Medical Information Retrieval Novel Nature Inspired Techniques in Medical Information Retrieval (en)
skos:prefLabel	Novel Nature Inspired Techniques in Medical Information Retrieval Novel Nature Inspired Techniques in Medical Information Retrieval (en)
skos:notation	RIV/68407700:21230/11:00182006!RIV12-MZ0-21230___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(NT11124), Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Huptych, Michal Burša, Miroslav Spilka, Jiří Chudáček, Václav Lhotská, Lenka
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	216599
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/11:00182006
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Swarm Intelligence; Ant Colony; Text mining; Data Mining; Medical Record Processing; Hospital Information System (en)
http://linked.open.../riv/klicoveSlovo	Ant Colony Data Mining Swarm Intelligence Hospital Information System Medical Record Processing Text mining
http://linked.open...ontrolniKodProRIV	[AD4B59DFEA7B]
http://linked.open...v/mistoKonaniAkce	Toulouse
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Information Technology in Bio- and Medical Informatics
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	7 (xsd:int)
http://linked.open...vavai/riv/projekt	Impact of Cardiotocography evaluation by means of artificial inteligence on perinatal care
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Burša, Miroslav Chudáček, Václav Huptych, Michal Huser, M. Janků, P. Lhotská, Lenka Spilka, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-08-29 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	0302-9743
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-23208-4_3
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-23207-7
http://localhost/t...ganizacniJednotka	21230

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