Overview of medical evidence aggregators

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…

CARRE meets DrInventor

In 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…

CARRE Architecture

The 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…

Aggregating educational resources

The 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…

Extracting patient’s intentions from the Web

Analysis 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…

CARRE risk factor ontology

The 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…