Application of a Medical Text Indexer to an Online Dermatology Atlas

George R. Kim; A. R. Aronson; J. G. Mork; B. A. Cohen; C. U. Lehmann

Application of a Medical Text Indexer to an Online Dermatology Atlas

George R. Kim, A. R. Aronson, J. G. Mork, B. A. Cohen, C. U. Lehmann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Clinical dermatology cases are presented as images and semi-structured text describing skin lesions and their relationships to disease. Metadata assignment to such cases is hampered by lack of a standardized dermatology vocabulary and facilitated methods for indexing legacy collections. In this pilot study descriptive clinical text from Dermatlas, a Web-based repository of dermatology cases, was indexed to Medical Subject Heading (MeSH®) terms using the National Library of Medicine's Medical Text Indexer (MTI). The MTI is an automated text processing system that derives ranked lists of MeSH terms to describe the content of medical journal citations using knowledge from the Unified Medical Language System® (UMLS®) and from MEDLINE®. For a representative, random sample of 50 Dermatlas cases, the MTI frequently derived MeSH indexing terms that matched expert-assigned terms for Diagnoses (88%), Lesion Types (72%), and Patient Characteristics (Gender and Age Groups, 62% and 84% respectively). This pilot demonstrates the potential for extending the MTI to automate indexing of clinical case presentations and for using MeSH to describe aspects of clinical dermatology.

Original language	English (US)
Title of host publication	Studies in Health Technology and Informatics
Editors	Marius Fieschi, Enrico W. Coiera, Yu-Chuan Li
Publisher	IOS Press BV
Pages	287-291
Number of pages	5
ISBN (Electronic)	1586034448, 9781586034443
State	Published - 2004
Externally published	Yes
Event	11th World Congress on Medical Informatics, MEDINFO 2004 - San Francisco, United States Duration: Sep 7 2004 → Sep 11 2004

Publication series

Name	Studies in Health Technology and Informatics
Volume	107
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	11th World Congress on Medical Informatics, MEDINFO 2004
Country/Territory	United States
City	San Francisco
Period	9/7/04 → 9/11/04

Keywords

Controlled Vocabulary
Dermatology
Medical Informatics
Natural Language Processing

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Cite this

Application of a Medical Text Indexer to an Online Dermatology Atlas. / Kim, George R.; Aronson, A. R.; Mork, J. G. et al.
Studies in Health Technology and Informatics. ed. / Marius Fieschi; Enrico W. Coiera; Yu-Chuan Li. IOS Press BV, 2004. p. 287-291 (Studies in Health Technology and Informatics; Vol. 107).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, GR, Aronson, AR, Mork, JG, Cohen, BA & Lehmann, CU 2004, Application of a Medical Text Indexer to an Online Dermatology Atlas. in M Fieschi, EW Coiera & Y-C Li (eds), Studies in Health Technology and Informatics. Studies in Health Technology and Informatics, vol. 107, IOS Press BV, pp. 287-291, 11th World Congress on Medical Informatics, MEDINFO 2004, San Francisco, United States, 9/7/04.

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AB - Clinical dermatology cases are presented as images and semi-structured text describing skin lesions and their relationships to disease. Metadata assignment to such cases is hampered by lack of a standardized dermatology vocabulary and facilitated methods for indexing legacy collections. In this pilot study descriptive clinical text from Dermatlas, a Web-based repository of dermatology cases, was indexed to Medical Subject Heading (MeSH®) terms using the National Library of Medicine's Medical Text Indexer (MTI). The MTI is an automated text processing system that derives ranked lists of MeSH terms to describe the content of medical journal citations using knowledge from the Unified Medical Language System® (UMLS®) and from MEDLINE®. For a representative, random sample of 50 Dermatlas cases, the MTI frequently derived MeSH indexing terms that matched expert-assigned terms for Diagnoses (88%), Lesion Types (72%), and Patient Characteristics (Gender and Age Groups, 62% and 84% respectively). This pilot demonstrates the potential for extending the MTI to automate indexing of clinical case presentations and for using MeSH to describe aspects of clinical dermatology.

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Application of a Medical Text Indexer to an Online Dermatology Atlas

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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