Novel Nature Inspired Techniques in Medical Information Retrieval

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00182006" target="_blank" >RIV/68407700:21230/11:00182006 - isvavai.cz</a>
Result on the web
<a href="http://www.springerlink.com/content/h50tk543g2535736/" target="_blank" >http://www.springerlink.com/content/h50tk543g2535736/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-23208-4_3" target="_blank" >10.1007/978-3-642-23208-4_3</a>

Result language
angličtina
Original language name
Novel Nature Inspired Techniques in Medical Information Retrieval
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. We describe the process of mining a large dataset of ~50,000-120,000 records x 20 attributes in DB tables, originating from the hospital information system 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.
Czech name
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Czech description
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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)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Information Technology in Bio- and Medical Informatics
ISBN
978-3-642-23207-7
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
31-38
Publisher name
Springer
Place of publication
Heidelberg
Event location
Toulouse
Event date
Aug 29, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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