Structural group auditing of a UMLS semantic type's extent

Document Type

Article

Publication Date

2-1-2009

Abstract

Each UMLS concept is assigned one or more of the semantic types (STs) from the Semantic Network. Due to the size and complexity of the UMLS, errors are unavoidable. We present two auditing methodologies for groups of semantically similar concepts. The straightforward procedure starts with the extent of an ST, which is the group of all concepts assigned this ST. We divide the extent into groups of concepts that have been assigned exactly the same set of STs. An algorithm finds subgroups of suspicious concepts. The human auditor is presented with these subgroups, which purportedly exhibit the same semantics, and thus she will notice different concepts with wrong or missing ST assignments. The dynamic procedure detects concepts which become suspicious in the course of the auditing process. Both procedures are applied to two semantic types. The results are compared with a comprehensive manual audit and show a very high error recall with a much higher precision. © 2008 Elsevier Inc. All rights reserved.

Identifier

60049095053 (Scopus)

Publication Title

Journal of Biomedical Informatics

External Full Text Location

https://doi.org/10.1016/j.jbi.2008.06.001

ISSN

15320464

PubMed ID

18619563

First Page

41

Last Page

52

Issue

1

Volume

42

Grant

R 01 LM008445-01A2

Fund Ref

U.S. National Library of Medicine

This document is currently not available here.

Share

COinS