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Statements

Subject Item
n2:RIV%2F68407700%3A21240%2F13%3A00209094%21RIV14-MSM-21240___
rdf:type
n12:Vysledek skos:Concept
rdfs:seeAlso
http://dx.doi.org/10.1145/2539150.2539195
dcterms: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.
dcterms:title
Linked Open Data for Healthcare Professionals Linked Open Data for Healthcare Professionals
skos:prefLabel
Linked Open Data for Healthcare Professionals Linked Open Data for Healthcare Professionals
skos:notation
RIV/68407700:21240/13:00209094!RIV14-MSM-21240___
n12:predkladatel
n18:orjk%3A21240
n3:aktivita
n6:S n6:P n6:I
n3:aktivity
I, P(GA13-08195S), P(TA02010182), S
n3:dodaniDat
n20:2014
n3:domaciTvurceVysledku
n17:3290999
n3:druhVysledku
n16:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
85040
n3:idVysledku
RIV/68407700:21240/13:00209094
n3:jazykVysledku
n11:eng
n3:klicovaSlova
Semantic Web; Linked Data; e-health; drugs; semantic integration
n3:klicoveSlovo
n8:semantic%20integration n8:drugs n8:Semantic%20Web n8:Linked%20Data n8:e-health
n3:kontrolniKodProRIV
[84CEC93EC93E]
n3:mistoKonaniAkce
Vienna
n3:mistoVydani
New York
n3:nazevZdroje
IIWAS '13:Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services
n3:obor
n21:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
5
n3:projekt
n13:GA13-08195S n13:TA02010182
n3:rokUplatneniVysledku
n20:2013
n3:tvurceVysledku
Dědek, J. Nečaský, M. Klímek, Jakub Pokorný, J. Kozák, J.
n3:typAkce
n7:WRD
n3:zahajeniAkce
2013-12-02+01:00
s:numberOfPages
10
n24:doi
10.1145/2539150.2539195
n19:hasPublisher
ACM
n4:isbn
978-1-4503-2113-6
n23:organizacniJednotka
21240