A survey of current work in biomedical text mining

AM Cohen, WR Hersh - Briefings in bioinformatics, 2005 - academic.oup.com
The volume of published biomedical research, and therefore the underlying biomedical
knowledge base, is expanding at an increasing rate. Among the tools that can aid …

[HTML][HTML] Biomedical text mining and its applications in cancer research

F Zhu, P Patumcharoenpol, C Zhang, Y Yang… - Journal of biomedical …, 2013 - Elsevier
Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …

[КНИГА][B] Handbook of natural language processing

N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

A simple algorithm for identifying abbreviation definitions in biomedical text

AS Schwartz, MA Hearst - Biocomputing 2003, 2002 - World Scientific
The volume of biomedical text is growing at a fast rate, creating challenges for humans and
computer systems alike. One of these challenges arises from the frequent use of novel …

Clinical report guided retinal microaneurysm detection with multi-sieving deep learning

L Dai, R Fang, H Li, X Hou, B Sheng… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Notice of Violation of IEEE Publication Principles" Clinical Report Guided Retinal
Microaneurysm Detection With Multi-Sieving Deep Learning," by Ling Dai, Ruogu Fang …

ProMiner: rule-based protein and gene entity recognition

D Hanisch, K Fundel, HT Mevissen, R Zimmer… - BMC …, 2005 - Springer
Background Identification of gene and protein names in biomedical text is a challenging task
as the corresponding nomenclature has evolved over time. This has led to multiple …

[КНИГА][B] Text mining for biology and biomedicine

S Ananiadou, J McNaught - 2006 - Citeseer
Text mining is defined by Hearst (1999) as the automatic discovery of new, previously
unknown, information from unstructured textual data. This is often seen as comprising of …

Text mining and ontologies in biomedicine: making sense of raw text

I Spasic, S Ananiadou, J McNaught… - Briefings in …, 2005 - academic.oup.com
The volume of biomedical literature is increasing at such a rate that it is becoming difficult to
locate, retrieve and manage the reported information without text mining, which aims to …

[HTML][HTML] Term identification in the biomedical literature

M Krauthammer, G Nenadic - Journal of biomedical informatics, 2004 - Elsevier
Sophisticated information technologies are needed for effective data acquisition and
integration from a growing body of the biomedical literature. Successful term identification is …

Content-rich biological network constructed by mining PubMed abstracts

H Chen, BM Sharp - BMC bioinformatics, 2004 - Springer
Background The integration of the rapidly expanding corpus of information about the
genome, transcriptome, and proteome, engendered by powerful technological advances …