Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets.

ABSTRACT:

Objectives

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, in order to identify directions for advancing medical concept normalization research.

Materials and methods

We identified ambiguous strings in datasets derived from the 2 available clinical corpora for concept normalization and categorized the distinct types of ambiguity the

SUBMITTER: Newman-Griffis D 

PROVIDER: S-EPMC7936394 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature