A new tool to identify key biomedical concepts in text documents, with special application to curriculum content

被引：0

作者：

Denny, JC ^{[1
]}

Smithers, JD ^{[1
]}

Spickard, A ^{[1
]}

Miller, RA ^{[1
]}

机构：

[1] Vanderbilt Univ, Ctr Med, Dept Biomed Informat, Nashville, TN 37240 USA

来源：

AMIA 2002 SYMPOSIUM, PROCEEDINGS: BIOMEDICAL INFORMATICS: ONE DISCIPLINE | 2002年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Vanderbilt Knowledge Map (KM) project created a series of tools for conceptual mapping and analysis of medical text documents, using a novel approach based on both the NLM UMLS Metathesaurus and heuristic, approximate NLP techniques. The authors compared the performance of the KM concept matcher with the National Library of Medicine's MetaMap (MM) using a selected subset of curriculum documents (for which domain experts had identified key concepts manually). The two systems identified key medical concepts with a recall of 86% (KM) and 81% (MM). The precision was 92% for KM and 89% for MM.

引用

页码：1007 / 1007

页数：1

共 27 条

[1] Automatic Single Document Text Summarization Using Key Concepts in Documents
Sarkar, Kamal
JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2013, 9 (04): : 602 - 620
[2] Personal oral narratives in a special school curriculum: an analysis of key documents
Grove, Nicola
BRITISH JOURNAL OF SPECIAL EDUCATION, 2014, 41 (01) : 6 - 24
[3] Effects on content acquisition of signaling key concepts in text material
Nevid, JS
Lampmann, JL
TEACHING OF PSYCHOLOGY, 2003, 30 (03) : 227 - 230
[4] Information Retrieval Approach based on Indexing Text Documents: Application to Biomedical Domain
Boukhari, Kabil
Omri, Mohamed Nazih
2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, : 2213 - 2220
[5] A new alignment algorithm to identify definitions corresponding to abbreviations in biomedical text
Xu, Yun
Wang, ZhiHao
Zhao, YuZhong
Xue, Yu
FIRST INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2007, : 118 - +
[6] CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text
Lee, Eva K.
Uppal, Karan
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (Suppl 14)
[7] CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text
Eva K. Lee
Karan Uppal
BMC Medical Informatics and Decision Making, 20
[8] Using mutual information to identify new features for text documents of various domains
Guo, ZL
PACLIC 17: Language, Information and Computation, Proceedings, 2003, : 372 - 379
[9] Method for automatic key concepts extraction: Application to documents in the domain of nuclear reactors
Desul, Sudarsana
Meenachi, Madurai N.
Venkatesh, Thejas
Gunta, Vijitha
Gowtham, R.
Baba, Magapu Sai
ELECTRONIC LIBRARY, 2019, 37 (01): : 2 - 15
[10] Methods in cell separation for biomedical application: cryogels as a new tool
Kumar, Ashok
Bhardwaj, Aditi
BIOMEDICAL MATERIALS, 2008, 3 (03)

← 1 2 3 →