Identifying important concepts from medical documents

Document Type

Article

Publication Date

12-1-2006

Abstract

Automated medical concept recognition is important for medical informatics such as medical document retrieval and text mining research. In this paper, we present a software tool called keyphrase identification program (KIP) for identifying topical concepts from medical documents. KIP combines two functions: noun phrase extraction and keyphrase identification. The former automatically extracts noun phrases from medical literature as keyphrase candidates. The latter assigns weights to extracted noun phrases for a medical document based on how important they are to that document and how domain specific they are in the medical domain. The experimental results show that our noun phrase extractor is effective in identifying noun phrases from medical documents, so is the keyphrase extractor in identifying important medical conceptual terms. They both performed better than the systems they were compared to. © 2006 Elsevier Inc. All rights reserved.

Identifier

33750840050 (Scopus)

Publication Title

Journal of Biomedical Informatics

External Full Text Location

https://doi.org/10.1016/j.jbi.2006.02.001

ISSN

15320464

PubMed ID

16545986

First Page

668

Last Page

679

Issue

6

Volume

39

Grant

DUE-0226075

Fund Ref

National Science Foundation

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