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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.

 

In Musica migrans we mapped the life courses of musicians in the 19th century. Topic Maps provides us the flexibility we need to model the diversity in the lives of the artists.

Lutz Maicher
Musica Migrans
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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