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Towards a Flexible Semantic Framework for Clinical Trial Eligibility using Topic Maps

Proceedings Paper, by David Damen and Tim Van den Bulcke

This paper presents a novel framework to represent clinical trial eligibility criteria based on Topic Maps.

External Link: download paper

Clinical trials are conducted extensively in clinical research. Most often, the eligibility screening consists of manually reviewing individual (patient) health records to identify potential candidates. Automated selection can improve the selection accuracy, increase the number of selected patients, and reduce the cost of the selection process. A formal representation of clinical trial eligibility criteria is however required to facilitate such automated selection and also to enable efficient multi-centric screening, thereby dealing with heterogeneous data coming from disparate sources.

Authors

David Damen

No contact information available. 

Daviddamen

David is involved in TopiEngi.

 

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maiana

The idea of Topic Maps is essential to enable dynamic information logistic. This requires a system that understands the context of the user to provide relevant informations and options automatically. Therefore semantic analysis is needed organizing content in a dynamic net structure.

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Topic Maps Lab auf der Cebit 2011
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