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Knowledge sharing in the health scenario

Identifieur interne : 000146 ( Pmc/Checkpoint ); précédent : 000145; suivant : 000147

Knowledge sharing in the health scenario

Auteurs : Magí Lluch-Ariet [Espagne] ; Albert Brugués De La Torre [Suisse, Espagne] ; Francesc Vallverdú [Espagne] ; Josep Pegueroles-Vallés [Espagne]

Source :

RBID : PMC:4255915

Abstract

The understanding of certain data often requires the collection of similar data from different places to be analysed and interpreted. Interoperability standards and ontologies, are facilitating data interchange around the world. However, beyond the existing networks and advances for data transfer, data sharing protocols to support multilateral agreements are useful to exploit the knowledge of distributed Data Warehouses. The access to a certain data set in a federated Data Warehouse may be constrained by the requirement to deliver another specific data set. When bilateral agreements between two nodes of a network are not enough to solve the constraints for accessing to a certain data set, multilateral agreements for data exchange are needed.

We present the implementation of a Multi-Agent System for multilateral exchange agreements of clinical data, and evaluate how those multilateral agreements increase the percentage of data collected by a single node from the total amount of data available in the network. Different strategies to reduce the number of messages needed to achieve an agreement are also considered. The results show that with this collaborative sharing scenario the percentage of data collected dramaticaly improve from bilateral agreements to multilateral ones, up to reach almost all data available in the network.


Url:
DOI: 10.1186/1479-5876-12-S2-S8
PubMed: 25471452
PubMed Central: 4255915


Affiliations:


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PMC:4255915

Le document en format XML

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<p>We present the implementation of a Multi-Agent System for multilateral exchange agreements of clinical data, and evaluate how those multilateral agreements increase the percentage of data collected by a single node from the total amount of data available in the network. Different strategies to reduce the number of messages needed to achieve an agreement are also considered. The results show that with this collaborative sharing scenario the percentage of data collected dramaticaly improve from bilateral agreements to multilateral ones, up to reach almost all data available in the network.</p>
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<journal-id journal-id-type="nlm-ta">J Transl Med</journal-id>
<journal-id journal-id-type="iso-abbrev">J Transl Med</journal-id>
<journal-title-group>
<journal-title>Journal of Translational Medicine</journal-title>
</journal-title-group>
<issn pub-type="epub">1479-5876</issn>
<publisher>
<publisher-name>BioMed Central</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">25471452</article-id>
<article-id pub-id-type="pmc">4255915</article-id>
<article-id pub-id-type="publisher-id">1479-5876-12-S2-S8</article-id>
<article-id pub-id-type="doi">10.1186/1479-5876-12-S2-S8</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Knowledge sharing in the health scenario</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" id="A1">
<name>
<surname>Lluch-Ariet</surname>
<given-names>Magí</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<email>magi.lluch@upc.edu</email>
</contrib>
<contrib contrib-type="author" id="A2">
<name>
<surname>de la Torre</surname>
<given-names>Albert Brugués</given-names>
</name>
<xref ref-type="aff" rid="I3">3</xref>
<xref ref-type="aff" rid="I2">2</xref>
</contrib>
<contrib contrib-type="author" id="A3">
<name>
<surname>Vallverdú</surname>
<given-names>Francesc</given-names>
</name>
<xref ref-type="aff" rid="I2">2</xref>
</contrib>
<contrib contrib-type="author" id="A4">
<name>
<surname>Pegueroles-Vallés</surname>
<given-names>Josep</given-names>
</name>
<xref ref-type="aff" rid="I2">2</xref>
</contrib>
</contrib-group>
<aff id="I1">
<label>1</label>
Barcelona Digital Technology Centre, Roc Boronat, 117, 08018, Barcelona, Catalonia, Spain</aff>
<aff id="I2">
<label>2</label>
Departament d'Enginyeria Telematica (ENTEL), Universitat Politècnica de Catalunya Jordi Girona, 1-3, C3, 08034 Barcelona, Catalonia, Spain</aff>
<aff id="I3">
<label>3</label>
University of Applied Sciences Western Switzerland Sierre, Switzerland</aff>
<pub-date pub-type="collection">
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>28</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>12</volume>
<issue>Suppl 2</issue>
<supplement>
<named-content content-type="supplement-title">Systems medicine in chronic diseases: COPD as a use case </named-content>
<named-content content-type="supplement-editor">David Gomez Cabrero, Felip Miralles, Jesper Tegner, Josep Roca, Magi Lluch-Ariet and Marta Cascante</named-content>
<named-content content-type="supplement-sponsor">Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication chanrges can be found in the individual articles. Articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.</named-content>
</supplement>
<fpage>S8</fpage>
<lpage>S8</lpage>
<permissions>
<copyright-statement>Copyright © 2014 Lluch-Ariet et al.; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2014</copyright-year>
<copyright-holder>Lluch-Ariet et al.; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>
) applies to the data made available in this article, unless otherwise stated.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.translational-medicine.com/content/12/S2/S8"></self-uri>
<abstract>
<p>The understanding of certain data often requires the collection of similar data from different places to be analysed and interpreted. Interoperability standards and ontologies, are facilitating data interchange around the world. However, beyond the existing networks and advances for data transfer, data sharing protocols to support multilateral agreements are useful to exploit the knowledge of distributed Data Warehouses. The access to a certain data set in a federated Data Warehouse may be constrained by the requirement to deliver another specific data set. When bilateral agreements between two nodes of a network are not enough to solve the constraints for accessing to a certain data set, multilateral agreements for data exchange are needed.</p>
<p>We present the implementation of a Multi-Agent System for multilateral exchange agreements of clinical data, and evaluate how those multilateral agreements increase the percentage of data collected by a single node from the total amount of data available in the network. Different strategies to reduce the number of messages needed to achieve an agreement are also considered. The results show that with this collaborative sharing scenario the percentage of data collected dramaticaly improve from bilateral agreements to multilateral ones, up to reach almost all data available in the network.</p>
</abstract>
<kwd-group>
<kwd>Network Protocols</kwd>
<kwd>Distributed Systems</kwd>
<kwd>Multiagent systems</kwd>
<kwd>Data sharing</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Espagne</li>
<li>Suisse</li>
</country>
</list>
<tree>
<country name="Espagne">
<noRegion>
<name sortKey="Lluch Ariet, Magi" sort="Lluch Ariet, Magi" uniqKey="Lluch Ariet M" first="Magí" last="Lluch-Ariet">Magí Lluch-Ariet</name>
</noRegion>
<name sortKey="De La Torre, Albert Brugues" sort="De La Torre, Albert Brugues" uniqKey="De La Torre A" first="Albert Brugués" last="De La Torre">Albert Brugués De La Torre</name>
<name sortKey="Lluch Ariet, Magi" sort="Lluch Ariet, Magi" uniqKey="Lluch Ariet M" first="Magí" last="Lluch-Ariet">Magí Lluch-Ariet</name>
<name sortKey="Pegueroles Valles, Josep" sort="Pegueroles Valles, Josep" uniqKey="Pegueroles Valles J" first="Josep" last="Pegueroles-Vallés">Josep Pegueroles-Vallés</name>
<name sortKey="Vallverdu, Francesc" sort="Vallverdu, Francesc" uniqKey="Vallverdu F" first="Francesc" last="Vallverdú">Francesc Vallverdú</name>
</country>
<country name="Suisse">
<noRegion>
<name sortKey="De La Torre, Albert Brugues" sort="De La Torre, Albert Brugues" uniqKey="De La Torre A" first="Albert Brugués" last="De La Torre">Albert Brugués De La Torre</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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