Ant Inspired Techniques in Textual Information Retrieval from a Hospital Information System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00186231" target="_blank" >RIV/68407700:21230/11:00186231 - isvavai.cz</a>
Alternative codes found
RIV/65269705:_____/11:#0001550
Result on the web
<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6089470" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6089470</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2011.6089470" target="_blank" >10.1109/NaBIC.2011.6089470</a>
Alternative languages
Result language
angličtina
Original language name
Ant Inspired Techniques in Textual Information Retrieval from a Hospital Information System
Original language 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 automatedprocessing.
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
<a href="/en/project/NT11124" target="_blank" >NT11124: Impact of Cardiotocography evaluation by means of artificial inteligence on perinatal care</a><br>
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
Proceedings of the 2011 Third World Congress on Nature and Biologically Inspired Computing
ISBN
978-1-4577-1123-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
428-433
Publisher name
IEEE - Systems, Man, and Cybernetics Society
Place of publication
New York
Event location
Salamanca
Event date
Oct 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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