Input Data Quality: A Case Study in BSPM
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00320339" target="_blank" >RIV/68407700:21230/17:00320339 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/17:00320339 RIV/68407700:21730/17:00320339
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Input Data Quality: A Case Study in BSPM
Original language description
Regarding recent trend in medicine, denoted as P4-medicine (Personalized, Predictive, Preventive and Participative), healthcare systems must cope with growing amount of large and complex sets of high-dimensional heterogeneous data. Additionally they have to cope with growing amount of unstructured and frequently continuous information. The question of most suitable definition of the data quality concept emerges. It is not easy to define it even at well structured data since it is multidimensional. Big data add two more dimensions of complexity: specificity given by the data source and high degree of unstructuredness, frequently without any possibility of reference to a gold standard. We will illustrate on a case study of body surface potential mapping (BSPM) how important data context and data source understanding, selection of proper preprocessing methods and results in relation to data source are. If data processing consists of more steps, the initial step is crucial.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NV15-31398A" target="_blank" >NV15-31398A: Features of Electromechanical Dyssynchrony that Predict Effect of Cardiac Resynchronization Therapy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Trendy v biomedicínském inženýrství 2017
ISBN
978-80-248-4099-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
VŠB-TUO
Place of publication
Ostrava
Event location
Horní Lomná
Event date
Sep 25, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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