Input Data Quality: A Case Study in BSPM

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21460/17:00320339 RIV/68407700:21730/17:00320339

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Input Data Quality: A Case Study in BSPM

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Input Data Quality: A Case Study in BSPM

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/NV15-31398A" target="_blank" >NV15-31398A: Charakteristiky elektromechanické dyssynchronie predikující efekt srdeční resynchronizační terapie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Trendy v biomedicínském inženýrství 2017

ISBN

978-80-248-4099-4

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

VŠB-TUO

Místo vydání

Ostrava

Místo konání akce

Horní Lomná

Datum konání akce

25. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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