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Description
  • Physicians are overwhelmed with many different drugs and the need to know a lot of information about all of them. That is, however, almost impossible in the fast evolving area of pharmaceutical industry. Although many data sources about drugs are published on the Web, structured or unstructured, it is very time consuming to search through them. In this paper we identify these data sources according to information needs of physicians. We show that they can be relatively easily integrated using the Linked Data principles and, in case of unstructured data, NLP methods. An application on the top of the integrated data sets is presented as a possible tool for clinical decision support.
  • Physicians are overwhelmed with many different drugs and the need to know a lot of information about all of them. That is, however, almost impossible in the fast evolving area of pharmaceutical industry. Although many data sources about drugs are published on the Web, structured or unstructured, it is very time consuming to search through them. In this paper we identify these data sources according to information needs of physicians. We show that they can be relatively easily integrated using the Linked Data principles and, in case of unstructured data, NLP methods. An application on the top of the integrated data sets is presented as a possible tool for clinical decision support. (en)
Title
  • Linked Open Data for Healthcare Professionals
  • Linked Open Data for Healthcare Professionals (en)
skos:prefLabel
  • Linked Open Data for Healthcare Professionals
  • Linked Open Data for Healthcare Professionals (en)
skos:notation
  • RIV/68407700:21240/13:00209094!RIV14-MSM-21240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GA13-08195S), P(TA02010182), S
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
  • 85040
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21240/13:00209094
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Semantic Web; Linked Data; e-health; drugs; semantic integration (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [84CEC93EC93E]
http://linked.open...v/mistoKonaniAkce
  • Vienna
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • IIWAS '13:Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services
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
  • Klímek, Jakub
  • Pokorný, J.
  • Nečaský, M.
  • Kozák, J.
  • Dědek, J.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1145/2539150.2539195
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 978-1-4503-2113-6
http://localhost/t...ganizacniJednotka
  • 21240
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