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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.

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Cases collected from the network. Percentage of cases collected from the total number available in the network with different values of TTL and size of the selected path set.
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Related In: Results  -  Collection

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Figure 4: Cases collected from the network. Percentage of cases collected from the total number available in the network with different values of TTL and size of the selected path set.

Mentions: The second evaluation is to prove the main goal of the MOSAIC system which is to overcome the amount of data that can be exchanged with bilateral agreements and collect as much data as possible from the network by achieving as much data exchange agreements as possible. The results obtained strongly depend on the parameters of the protocol, namely its TTL and the number of branches selected from all the paths available during the network exploration. Figure 4 shows the results with different values for TTL (1: bilateral agreements, 2: agreements among 3 nodes, and 3: agreements among 4 nodes) and with a range selection of paths starting from 1 (only exploring a single MCC from all available) to 50 (higher values of TTL are not needed as most of the data available in the network is made accessible after much more short negotiation paths). The percentages of data collected shows a steady increase when the selection of the number of possible paths increases, and while the improvement from TTL1 to TTL2 is significant, the increase from TTL2 to TTL3 is limited.


Knowledge sharing in the health scenario.

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

Cases collected from the network. Percentage of cases collected from the total number available in the network with different values of TTL and size of the selected path set.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 4: Cases collected from the network. Percentage of cases collected from the total number available in the network with different values of TTL and size of the selected path set.
Mentions: The second evaluation is to prove the main goal of the MOSAIC system which is to overcome the amount of data that can be exchanged with bilateral agreements and collect as much data as possible from the network by achieving as much data exchange agreements as possible. The results obtained strongly depend on the parameters of the protocol, namely its TTL and the number of branches selected from all the paths available during the network exploration. Figure 4 shows the results with different values for TTL (1: bilateral agreements, 2: agreements among 3 nodes, and 3: agreements among 4 nodes) and with a range selection of paths starting from 1 (only exploring a single MCC from all available) to 50 (higher values of TTL are not needed as most of the data available in the network is made accessible after much more short negotiation paths). The percentages of data collected shows a steady increase when the selection of the number of possible paths increases, and while the improvement from TTL1 to TTL2 is significant, the increase from TTL2 to TTL3 is limited.

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