Extracting conceptual terms from medical documents

Document Type

Conference Proceeding

Publication Date

12-1-2005

Abstract

Automated biomedical concept recognition is important for biomedical document retrieval and text mining research. In this paper, we describe a two-step concept extraction technique for documents in biomedical domain. Step one includes noun phrase extraction, which can automatically extract noun phrases from medical documents. Extracted noun phrases are used as concept term candidates which become inputs of next step. Step two includes keyphrase extraction, which can automatically identify important topical terms from candidate terms. Experiments were conducted to evaluate results of both steps. The experiment results show that our noun phrase extractor is effective in identifying noun phrases from medical documents, so is the keyphrase extractor in identifying document conceptual terms.

Identifier

84870017861 (Scopus)

ISBN

[9781604235531]

Publication Title

Association for Information Systems 11th Americas Conference on Information Systems Amcis 2005 A Conference on A Human Scale

First Page

2645

Last Page

2651

Volume

6

This document is currently not available here.

Share

COinS