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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. In the paper we depict the process of mining a large dataset of ~50,000-120,000 records x 20 attributes in database tables, originating from the hospital information system (thanks go to the University Hospital in Brno, Czech Republic) 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 and automated processing.
  • 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. In the paper we depict the process of mining a large dataset of ~50,000-120,000 records x 20 attributes in database tables, originating from the hospital information system (thanks go to the University Hospital in Brno, Czech Republic) 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 and automated processing. (en)
Title
  • Ant Inspired Techniques in Textual Information Retrieval from a Hospital Information System
  • Ant Inspired Techniques in Textual Information Retrieval from a Hospital Information System (en)
skos:prefLabel
  • Ant Inspired Techniques in Textual Information Retrieval from a Hospital Information System
  • Ant Inspired Techniques in Textual Information Retrieval from a Hospital Information System (en)
skos:notation
  • RIV/68407700:21230/11:00186231!RIV12-MZ0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NT11124), Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 186368
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00186231
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Information Retrieval; Ant Colony; Swarm Intelligence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [48DF2D078DC0]
http://linked.open...v/mistoKonaniAkce
  • Salamanca
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2011 Third World Congress on Nature and Biologically Inspired Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
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
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/NaBIC.2011.6089470
http://purl.org/ne...btex#hasPublisher
  • IEEE - Systems, Man, and Cybernetics Society
https://schema.org/isbn
  • 978-1-4577-1123-7
http://localhost/t...ganizacniJednotka
  • 21230
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