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Proceedings of the AMIA Symposium logoLink to Proceedings of the AMIA Symposium
. 2000:270–274.

A broad-coverage natural language processing system.

C Friedman 1
PMCID: PMC2243979  PMID: 11079887

Abstract

Natural language processing systems (NLP) that extract clinical information from textual reports were shown to be effective for limited domains and for particular applications. Because an NLP system typically requires substantial resources to develop, it is beneficial if it is designed to be easily extendible to multiple domains and applications. This paper describes multiple extensions of an NLP system called MedLEE, which was originally developed for the domain of radiological reports of the chest, but has subsequently been extended to mammography, discharge summaries, all of radiology, electrocardiography, echocardiography, and pathology.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

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