A natural language processing system to extract and code concepts relating to congestive heart failure from chest radiology reports.

Full Abstract

We have developed a natural language processing system for extracting and coding clinical data from free text reports. The system is designed to be easily modified and adapted to a variety of free text clinical reports such as admission notes, radiology and pathology reports, and discharge summaries. This report presents the results of this system to extract and code clinical concepts related to congestive heart failure from 39,000 chest radiology reports. The system detects the presence or absence of six concepts:
congestive heart failure, Kerley B lines, cardiomegaly, prominent pulmonary vasculature, pulmonary edema, and pleural effusion. We compared it's output to a gold standard which consisted of specially trained human coders as well as an experienced physician. Results indicate that the system had high specificity, recall and precision for each of the concepts it is designed to detect.

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Author information

Author/s: Friedlin, Jeff (J); McDonald, Clement J (CJ);

Affiliation: Regenstrief Institute, Inc. and Indiana University School of Medicine, Indianapolis, IN, USA.

Journal and publication information

Publication Type: Comparative Study; Journal Article; Validation Studies

Journal: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium (AMIA Annu Symp Proc), published in United States. (Language: eng)

Reference: 2006-; vol (issue ) : pp 269-73

Dates: Created 2007/01/22; Completed 2007/09/28; Revised 2008/11/20;

PMID: 17238345, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Forms and Records Control
Heart Failure - classification; radiography
Humans
Natural Language Processing

Natural Language Processing
Predictive Value of Tests
Radiography, Thoracic - classification
Sensitivity and Specificity

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