Identification of new drug classification terms in textual resources-Reference-Cited by-同舟云学术

Identification of new drug classification terms in textual resources

Published:2007-07-01 Issue:13 Volume:23 Page:i264-i272
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kolářik Corinna,Hofmann-Apitius Martin,Zimmermann Marc,Fluck Juliane

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/23/13/i264/23706207/btm196.pdf

Reference18 articles.

1. Introduction to named entity recognition in biomedicine, editorial, Special Issue;Ananiadou;J. Biomed. Inform,2004

2. Evaluation of text mining in biology;Blaschke,2006

3. Extraction of gene-disease relations from Medline using domain dictionaries and machine learning;Chun,2006

4. Learning taxonomic relations from heterogeneous sources of evidence;Cimiano,2005

5. ProMiner: rule based protein and gene entity recognition;Hanisch;BioMedCentral,2005

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes;Scientific Data;2022-05-26

2. Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study;JMIR Medical Informatics;2021-05-05

3. Integrated Systems Pharmacology and Surface Plasmon Resonance Approaches to Reveal the Synergistic Effect of Multiple Components of Gu-Ben-Ke-Chuan Decoction on Chronic Bronchitis;Journal of Inflammation Research;2021-04

4. Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study (Preprint);2020-09-30

5. Information Retrieval and Text Mining Technologies for Chemistry;Chemical Reviews;2017-05-05