Article,

An Experiment Comparing Lexical and Statistical Methods for Extracting MeSH Terms from Clinical Free Text

, and .
Journal of the American Medical Informatics Association, 5 (1): 62--75 (Jan 1, 1998)
DOI: 10.1136/jamia.1998.0050062

Abstract

Objective A primary goal of the University of Pittsburgh's 1990-94 UMLS-sponsored effort was to develop and evaluate PostDoc (a lexical indexing system) and Pindex (a statistical indexing system) comparatively, and then in combination as a hybrid system. Each system takes as input a portion of the free text from a narrative part of a patient's electronic medical record and returns a list of suggested MeSH terms to use in formulating a Medline search that includes concepts in the text. This paper describes the systems and reports an evaluation. The intent is for this evaluation to serve as a step toward the eventual realization of systems that assist healthcare personnel in using the electronic medical record to construct patient-specific searches of Medline.

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