Obstetric Medical Record Processing and Information Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00201789" target="_blank" >RIV/68407700:21230/12:00201789 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-29262-0_4#" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-29262-0_4#</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-29262-0_4" target="_blank" >10.1007/978-3-642-29262-0_4</a>
Alternative languages
Result language
angličtina
Original language name
Obstetric Medical Record Processing and Information Retrieval
Original language description
This paper describes the process of 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 automated processing. Information mining from textual data becomes a very challenging task when the structure of the text record is very loose without any rules. The task becomes even more difficult when natural language is used and no apriori knowledge is available. The medical environment itself is also ve
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Electronic Healthcare
ISBN
978-3-642-29261-3
Number of pages of the result
8
Pages from-to
26-33
Number of pages of the book
205
Publisher name
Springer
Place of publication
Dordrecht
UT code for WoS chapter
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