A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets
2020
JAMIA Journal of the American Medical Informatics Association
Normalizing mentions of medical concepts to standardized vocabularies is a fundamental component of clinical text analysis. Ambiguity-words or phrases that may refer to different concepts-has been extensively researched as part of information extraction from biomedical literature, but less is known about the types and frequency of ambiguity in clinical text. This study characterizes the distribution and distinct types of ambiguity exhibited by benchmark clinical concept normalization datasets,
doi:10.1093/jamia/ocaa269
pmid:33319905
pmcid:PMC7936394
fatcat:pgnuvrlv7rdqbgstmepayzafie