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Knowledge sharing in the health scenario.

Lluch-Ariet M, Brugués de la Torre A, Vallverdú F, Pegueroles-Vallés J - J Transl Med (2014)

Bottom Line: 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.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.

View Article: PubMed Central - HTML - PubMed

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.

Show MeSH
Messages. Comparative of the average number of messages needed to achieve an agreement, between the two branch selection strategies.
© Copyright Policy - open-access
Related In: Results  -  Collection

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Figure 6: Messages. Comparative of the average number of messages needed to achieve an agreement, between the two branch selection strategies.

Mentions: Figure 6 shows the reduction in the number of messages transmitted over the network needed to achieve an agreement, comparing the selection criteria of the MCC between the strategy based on the dataset size and the random selection.


Knowledge sharing in the health scenario.

Lluch-Ariet M, Brugués de la Torre A, Vallverdú F, Pegueroles-Vallés J - J Transl Med (2014)

Messages. Comparative of the average number of messages needed to achieve an agreement, between the two branch selection strategies.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4255915&req=5

Figure 6: Messages. Comparative of the average number of messages needed to achieve an agreement, between the two branch selection strategies.
Mentions: Figure 6 shows the reduction in the number of messages transmitted over the network needed to achieve an agreement, comparing the selection criteria of the MCC between the strategy based on the dataset size and the random selection.

Bottom Line: 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.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.

View Article: PubMed Central - HTML - PubMed

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.

Show MeSH