Large-scale event extraction from literature with multi-level gene normalization [PDF]
, 2013 Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts.
Ananiadou, Sophia +10 more
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Ontology-based knowledge representation of experiment metadata in biological data mining [PDF]
, 2009 According to the PubMed resource from the U.S. National Library of Medicine, over 750,000 scientific articles have been published in the ~5000 biomedical journals worldwide in the year 2007 alone.
Burke, Squires +12 more
core +1 more source
Concept embedding-based weighting scheme for biomedical text clustering and visualization [PDF]
, 2018 Biomedical text clustering is a text mining technique used to provide better document search, browsing, and retrieval in biomedical and clinical text collections. In this research, the document representation based on the concept embedding along with the
Luo, Xiao, Shah, Setu
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A Comparative Analysis of Active Learning for Biomedical Text Mining
Applied System Innovation, 2021 An enormous amount of clinical free-text information, such as pathology reports, progress reports, clinical notes and discharge summaries have been collected at hospitals and medical care clinics.
Usman Naseem +4 more
doaj +1 more source
Reconstructing transcriptional regulatory networks using data integration and text mining [PDF]
, 2015 Transcriptional Regulatory Networks (TRNs) are powerful tool for representing several interactions that occur within a cell. Recent studies have provided information to help researchers in the tasks of building and understanding these networks.
Carneiro, S. +4 more
core +1 more source
Quantifying the impact and extent of undocumented biomedical synonymy. [PDF]
PLoS Computational Biology, 2014 Synonymous relationships among biomedical terms are extensively annotated within specialized terminologies, implying that synonymy is important for practical computational applications within this field.
David R Blair +4 more
doaj +1 more source
Biomedical text mining applied to document retrieval and semantic indexing [PDF]
, 2009 In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and general purpose approach to the process of document retrieval that enables the ...
Carneiro, S. +10 more
core +1 more source
Overview of biomedical relations extraction using hybrid rule-based approaches. [PDF]
, 2013 Unstructured text documents are the major source of knowledge in biomedical fields. These huge amounts of information cause very difficult task of extraction or classification.Therefore, there is a need for knowledge discovery and text mining tools in ...
Abdul Kadir, Rabiah +1 more
core +1 more source
Towards cross-platform interoperability for machine-assisted text annotation [PDF]
Genomics & Informatics, 2019 In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are ...
Richard Eckart de Castilho +4 more
doaj +1 more source
Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts [PDF]
, 2005 Background Text-mining can assist biomedical researchers in reducing information overload by extracting useful knowledge from large collections of text. We developed a novel text-mining method based on analyzing the network structure created by symbol co-
Spackman K, Dubay C, Hersh WR, Cohen AM
core +2 more sources