Abstract
Understanding the provenance of clinical guidelines is important for both practitioners and researchers as it allows for deeper understanding of the provided recommendations and could potentially provide a basis for updating guidelines. Often such provenance is incomplete or unavailable. We describe a prototype of a multi-signal pipeline for reconstructing provenance and show preliminary results of reconstructing dependencies between documents in the context of clinical guidelines and associated documents.
Original language | English |
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Journal | CEUR Workshop Proceedings |
Volume | 952 |
State | Published - 2012 |
Externally published | Yes |
Event | 5th International Workshop on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2012 - Paris, France Duration: Nov 28 2012 → Nov 30 2012 |