MedLEE

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MedLee

A Medical Language Extraction and Encoding System

The goal of MedLEE is to extract, structure, and encode clinical information in textual patient reports so that the data can be used by subsequent automated processes. This page describes how to use the most recent demonstration version of MedLEE on the Web. MedLEE was created by Carol Friedman in collaboration with the Department of Biomedical Informatics at Columbia University, the Radiology Department at Columbia University, and the Department of Computer Science at Queens College of CUNY.

Towards a comprehensive medical language processing system: methods and issues.

Friedman, C., "Towards a comprehensive medical language processing system: methods and issues.", Proceedings of the AMIA annual fall symposium: American Medical Informatics Association, pp. 595, 1997.

A broad-coverage natural language processing system.

Friedman, C., "A broad-coverage natural language processing system.", Proceedings of the AMIA Symposium: American Medical Informatics Association, pp. 270, 2000.
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