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Erschienen in:
Big Data: Who, What and Where? Social, Cognitive and Journals Map of Big Data Publications with Focus on Optimization Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Optimized Management of BIG Data Produced in Brain Disorder Rehabilitation

verfasst von : Peter Brezany, Olga Štěpánková, Markéta Janatová, Miroslav Uller, Marek Lenart

Erschienen in: Big Data Optimization: Recent Developments and Challenges

Verlag: Springer International Publishing

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Abstract

Brain disorders resulting from injury, disease, or health conditions can influence function of most parts of human body. Necessary medical care and rehabilitation is often impossible without close cooperation of several diverse medical specialists who must work jointly to choose methods that improve and support healing processes as well as to discover underlying principles. The key to their decisions are data resulting from careful observation or examination of the patient. We introduce the concept of scientific dataspace that involves and stores numerous and often complex types of data, e.g., the primary data captured from the application, data derived by curation and analytic processes, background data including ontology and workflow specifications, semantic relationships between dataspace items based on ontologies, and available published data. Our contribution applies big data and cloud technologies to ensure efficient exploitation of this dataspace, namely, novel software architectures, algorithms and methodology for its optimized management and utilization. We present its service-oriented architecture using a running case study and results of its data processing that involves mining and visualization of selected patterns optimized towards big and complex data we are dealing with.

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Vorheriges Kapitel Smart Sampling and Optimal Dimensionality Reduction of Big Data Using Compressed Sensing
Nächstes Kapitel Big Data Optimization in Maritime Logistics
Fußnoten
1
This categorization is analogous to [32] that, however, addresses the generic science development trajectory.
 
2
The oldest known medical record was written in 2150 BC in Summeria.
 
4
The diagnostic effect of X-rays, used for medical X-ray and computed tomography was discovered in 1895. Electrocardiograph was invented in 1903, electroencephalogram later in 1924.
 
5
In the scientific data management research literature, “dataset” is more commonly used than “data set”.
 
6
We are aware that with this e-Science life cycle definition we cannot stop the development of scientific research methodology and, therefore, it is assumed that it will be actualized in the future.
 
7
An additional data flow to the dataspace can originate from the Web considered as “the biggest database” and information resource. There already exist advanced Web data extraction tools, e.g. [47].
 
8
Publications [10, 49] deal with the development of an epilepsy and seizure ontology and a data mining ontology, respectively.
 
9
Private cloud services operate solely for a single organization, typically managed and hosted internally or by a third-party, whereas public clouds services are offered by a service provider, they may be free or offered on a pay-per-usage model.
 
10
In a typical, almost standard notation, \(\rightarrow \) is used instead ‘then’.
 
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Metadaten
Titel
Optimized Management of BIG Data Produced in Brain Disorder Rehabilitation
verfasst von
Peter Brezany
Olga Štěpánková
Markéta Janatová
Miroslav Uller
Marek Lenart
Copyright-Jahr
2016
Buch
Big Data Optimization: Recent Developments and Challenges

Print ISBN: 978-3-319-30263-8

Electronic ISBN: 978-3-319-30265-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-30265-2_13