Medical Guideline as Prior Knowledge in Electronic Healthcare Record Mining.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020077" target="_blank" >RIV/67985807:_____/02:06020077 - 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
Medical Guideline as Prior Knowledge in Electronic Healthcare Record Mining.
Original language description
We investigate the possibility of a two-step approach to EHR mining, in the specific context of analysing the compliance of the healthcare practice with the standards formulated in medical guidelines. The non-compliance patterns detected in the process of guideline-based data pre-processing (1.step) can provide additional variables to enter the actual KDD task, namely association rule mining (2.step). Experiments are under way in order to associate the patterns with other patient data present in the EHR.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LN00B107" target="_blank" >LN00B107: Evropean Center for Medical Informatics, Statistics and Epidemiology - Cardio (EuroMISE-Cardio)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Data Mining III.
ISBN
1-85312-925-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
809-818
Publisher name
WIT Press
Place of publication
Southampton
Event location
Bologna [IT]
Event date
Sep 25, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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