Results 11 to 20 of about 157,658 (286)
Biomedical text mining and its applications. [PDF]
PLoS Computational Biology, 2009 This tutorial is intended for biologists and computational biologists interested in adding text mining tools to their bioinformatics toolbox. As an illustrative example, the tutorial examines the relationship between progressive multifocal leukoencephalopathy (PML) and antibodies.
Raul Rodriguez-Esteban
doaj +5 more sources
Text Mining in Biomedical Domain with Emphasis on Document Clustering [PDF]
Healthcare Informatics Research, 2017 ObjectivesWith the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published.
Vinaitheerthan Renganathan
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Pressing needs of biomedical text mining in biocuration and beyond: opportunities and challenges. [PDF]
Database (Oxford), 2016 Text mining in the biomedical sciences is rapidly transitioning from small-scale evaluation to large-scale application. In this article, we argue that text-mining technologies have become essential tools in real-world biomedical research.
Singhal A +8 more
europepmc +2 more sources
A Novel Framework for Biomedical Text Mining
Journal on Big Data, 2020 Text mining has emerged as an effective method of handling and extracting useful information from the exponentially growing biomedical literature and biomedical databases.
Janyl Jumadinova +4 more
semanticscholar +2 more sources
Mining the neuroimaging literature [PDF]
eLifeAutomated analysis of the biomedical literature (literature mining) offers a rich source of insights. However, such analysis requires collecting a large number of articles and extracting and processing their content.
Jérome Dockès +4 more
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Application of Biomedical Text Mining
Artificial Intelligence, 2018 With the enormous volume of biological literature, increasing growth phenomenon due to the high rate of new publications is one of the most common motivations for the biomedical text mining.
Lejun Gong
semanticscholar +4 more sources
The BioLexicon: a large-scale terminological resource for biomedical text mining [PDF]
BMC Bioinformatics, 2011 Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used
Thompson Paul +14 more
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BioReader: a text mining tool for performing classification of biomedical literature
BMC Bioinformatics, 2019 Background Scientific data and research results are being published at an unprecedented rate. Many database curators and researchers utilize data and information from the primary literature to populate databases, form hypotheses, or as the basis for ...
Christian Simon +5 more
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Community challenges in biomedical text mining over 10 years: success, failure and the future. [PDF]
Brief Bioinform, 2016 Huang CC, Lu Z.
europepmc +2 more sources
Advancing Chinese biomedical text mining with community challenges [PDF]
Journal of Biomedical InformaticsObjective: This study aims to review the recent advances in community challenges for biomedical text mining in China. Methods: We collected information of evaluation tasks released in community challenges of biomedical text mining, including task description, dataset description, data source, task type and related links.
Hui Zong +10 more
semanticscholar +4 more sources