The Use of Ant Inspired Methods in Hospital Information System Text Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00182627" target="_blank" >RIV/68407700:21230/11:00182627 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Use of Ant Inspired Methods in Hospital Information System Text Mining
Original language description
In this paper we describe the problems encountered in processing a huge hospital information system. In this work we have studied and evaluated different swarm inteligence techniques for mining information from loosely structured medical textual recordshaving no apriori knowledge (a large dataset - export from hospital information system). The output of this task is a set of ordered/nominal attributes suitable for rule discovery mining.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník 9. česko-slovenské konference
ISBN
978-80-248-2475-8
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
226-227
Publisher name
VŠB
Place of publication
Ostrava
Event location
Rožnov pod Radhoštěm
Event date
Sep 21, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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