The medical evidence aggregators can be separated into the medical evidence data mining system and the educational resources aggregator system. The goal of these systems is to retrieve medical evidence data and patient educational content, accordingly, from on-line authoritative sources. These kinds of information are either openly available to public, such as some government medical…
DetailsIn Jan. 2015, at EU Dr Inventor (Promoting Scientific Creativity by Utilising Web-based Research Objects: FP7-ICT-2013.8.1) project meeting that was held in Maynooth University, Ireland, CARRE work on data mining was presented as related project. CARRE and Dr Inventor share some of the key technologies in its tasks, such as Data mining, semantically representing mined…
DetailsThe idea behind the personal sensor data aggregator is to collect personal sensor data from a variety of sources, such as sensor manufacturers or health data platforms, to convert those data, regardless of origin, into RDF and to store that RDF in the CARRE semantic repository. The aggregator needs to be easily extensible in order…
DetailsThe CARRE system architecture was developed following a component based approach. Initially, we identified (a) public and private data aggregated, used and produced by the system; and (b) major system services. Major architectural components were then designed and described. Finally, the end user perspective was captured via a number of indicative sequence diagrams to illustrate…
DetailsThe concept of patient empowerment has emerged as a new paradigm that can help improve medical outcomes while lowering costs of treatment by facilitating self-directed behavior change. Patient empowerment has gained even more popularity since the 1990’s, due to the emergent of eHealth and its focus on putting the patient in the centre of the…
DetailsThe aim of the educational resource aggregator is to harvest educational resources from 3rd party repositories, present these to the medical expert for annotation and rating, and output the results of the annotation (together with resource metadata) to the CARRE public RDF repository. So far we have designed the architecture of the aggregator. This aggregator…
DetailsAnalysis of CARRE use cases and project aims shows that decision support would benefit from resolving two different types of patient intention: a) intention to search information on cardiorenal disease concepts; and b) intention to travel, particularly to places where environmental and dietary conditions may require adjustment to patients’ diet and physical activity. Thus the…
DetailsLast week CARRE consortium held its third meeting in Vilnius, Lithuania. The meeting was held right in the middle of the medieval town while we had the opportunity to visit the impressive premises of Vilnius University Hospital. Two full days were devoted in discussing thoroughly the project progress and plans ahead. The major goal of…
DetailsThe CARRE conceptual model of the risk factor led to the development of a novel ontology for risk factors in medicine. The ontology was developed using natural language tools for knowledge representation. In particular, we used the OWL Simplified Englishontology editor developed during the SWAT project, and presented an automatically generated textual glossary version of…
DetailsIn July 2014, CARRE team at BED gave a presentation, as part of series CCGV project presentations, on CARRE project to a team led by Donna Holding, the Commissioning Manager of Luton Clinical Commissioning Group (LCCG). LCCG later invited the CCGV team to present the projects at the CCG’s Long Term Conditions Meeting on 25th…
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