Identification of anatomical terminology in medical text.
- 1 January 1998
- journal article
- p. 428-32
Abstract
We report on an experiment to use the natural language processing tools being developed in the SPECIALIST system to accurately identify terminology associated with the coronary arteries as expressed in coronary catheterization reports. The ultimate goal is to map from any anatomically-oriented medical text to online images, using the UMLS as an intermediate knowledge source. We describe some of the problems encountered when processing coronary artery terminology and report on the results of a formative evaluation of a tool for addressing these problems.This publication has 9 references indexed in Scilit:
- Motivation and Organizational Principles for Anatomical Knowledge Representation: The Digital Anatomist Symbolic Knowledge BaseJournal of the American Medical Informatics Association, 1998
- The Unified Medical Language System: An Informatics Research CollaborationJournal of the American Medical Informatics Association, 1998
- Towards a comprehensive medical language processing system: methods and issues.1997
- Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports.1997
- Unlocking Clinical Data from Narrative Reports: A Study of Natural Language ProcessingAnnals of Internal Medicine, 1995
- Lexical methods for managing variation in biomedical terminologies.1994
- UMLS knowledge for biomedical language processing.1993
- Semantic processing in information retrieval.1993
- Natural language processing of asthma discharge summaries for the monitoring of patient care.1993