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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
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SparkText: Biomedical Text Mining on Big Data Framework. [PDF]
PLoS ONE, 2016 BACKGROUND:Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments.
Zhan Ye +4 more
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining. [PDF]
Bioinformatics, 2020 Abstract Motivation Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows. With the progress in natural language processing (NLP), extracting valuable information from biomedical literature has gained popularity among researchers, and deep
Lee J +6 more
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ParaBTM: A Parallel Processing Framework for Biomedical Text Mining on Supercomputers [PDF]
Molecules, 2018 A prevailing way of extracting valuable information from biomedical literature is to apply text mining methods on unstructured texts. However, the massive amount of literature that needs to be analyzed poses a big data challenge to the processing ...
Yuting Xing +5 more
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OntoGene web services for biomedical text mining. [PDF]
BMC Bioinformatics, 2014 Text mining services are rapidly becoming a crucial component of various knowledge management pipelines, for example in the process of database curation, or for exploration and enrichment of biomedical data within the pharmaceutical industry. Traditional architectures, based on monolithic applications, do not offer sufficient flexibility for a wide ...
Rinaldi F +5 more
europepmc +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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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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Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 [PDF]
Genomics & Informatics, 2020 This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first ...
Sunho Kim +44 more
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BMC Bioinformatics, 2022 Background Recently, automatically extracting biomedical relations has been a significant subject in biomedical research due to the rapid growth of biomedical literature.
Peng Su, K. Vijay-Shanker
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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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