A survey of current work in biomedical text mining
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 …
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 …
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 …
and techniques for implementing natural language processing in computer systems. Along …
A simple algorithm for identifying abbreviation definitions in biomedical text
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 …
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
Notice of Violation of IEEE Publication Principles" Clinical Report Guided Retinal
Microaneurysm Detection With Multi-Sieving Deep Learning," by Ling Dai, Ruogu Fang …
Microaneurysm Detection With Multi-Sieving Deep Learning," by Ling Dai, Ruogu Fang …
ProMiner: rule-based protein and gene entity recognition
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 …
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 …
unknown, information from unstructured textual data. This is often seen as comprising of …
Text mining and ontologies in biomedicine: making sense of raw text
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 …
locate, retrieve and manage the reported information without text mining, which aims to …
[HTML][HTML] Term identification in the biomedical literature
Sophisticated information technologies are needed for effective data acquisition and
integration from a growing body of the biomedical literature. Successful term identification is …
integration from a growing body of the biomedical literature. Successful term identification is …
Content-rich biological network constructed by mining PubMed abstracts
Background The integration of the rapidly expanding corpus of information about the
genome, transcriptome, and proteome, engendered by powerful technological advances …
genome, transcriptome, and proteome, engendered by powerful technological advances …