Practical Problems and Solutions in Hospital Information System Data Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00194641" target="_blank" >RIV/68407700:21230/12:00194641 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/12:00064000
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-642-32395-9_3?null" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-32395-9_3?null</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Practical Problems and Solutions in Hospital Information System Data Mining
Original language description
Information mining from textual data becomes a very challenging task when the structure of the text record is very loose without any rules.Doctors often use natural language in medical records.Therefore it contains many ambiguities due to non-standard abbreviations and synonyms. Themedical environment itself is also very specific: the natural langure used in textual description varies with the personality creating the record (there are many personalized approaches), however it is restricted by terminology (i.e.medical terms, medical standards, etc.).Moreover, the typical patient record is filled with typographical errors, duplicates, ambiguities, syntax errors and many nonstandard abbreviations. This paper describes the process of mining information from loosely structured medical textual records with no apriori knowledge. The paper concerns mining a large dataset of ~50,000-140,000 records x 20 attributes in relational database tables, originating from the hospitál information system
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Information Technology in Bio- and Medical Informatics
ISBN
978-3-642-32394-2
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
31-39
Publisher name
Springer
Place of publication
Heidelberg
Event location
Vienna
Event date
Sep 4, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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