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

Proceedings Paper, von David Damen und Tim Van den Bulcke

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

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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.

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David Damen

Keine Kontaktinformationen verfügbar. 

Daviddamen

David ist beteiligt an TopiEngi.

 

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As a former information scientist, I am fascinated since 1999 by the capabilities for building Topic Maps-based knowledge systems having the potential to augment human mind. One can model arbitrary knowledge organization systems, deal with semantic heterogeneity, collocate all facts about one subject in one logical place, and with TMQL have semantic retrieval on federated semantic networks. Therefore I expect bright prospects for business concepts building on the exchange of such knowledge snippets via semantic knowledge services.

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Alexander Sigel
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Topic Maps Lab auf der Cebit 2011
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