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Application of text mining in the biomedical domain
Methods, 2015In recent years the amount of experimental data that is produced in biomedical research and the number of papers that are being published in this field have grown rapidly. In order to keep up to date with developments in their field of interest and to interpret the outcome of experiments in light of all available literature, researchers turn more and ...
Fleuren, W.W.M., Alkema, W.B.L.
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Journal of Knowledge Management, 2020
Purpose This work shows the results of a systematic literature review on biomedical text mining. The purpose of this study is to identify the different text mining approaches used in different application areas of the biomedical domain, the common tools
Sudha Cheerkoot-Jalim, K. Khedo
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Purpose This work shows the results of a systematic literature review on biomedical text mining. The purpose of this study is to identify the different text mining approaches used in different application areas of the biomedical domain, the common tools
Sudha Cheerkoot-Jalim, K. Khedo
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Biomedical Text Data Mining: Recent Patents
Recent Patents on Computer Sciencee, 2009Abstract: Biomedical information continues to grow beyond the capacity of scientists to capture and use all that is produced. Much of this information is presented in scientific journal articles and expressed in natural language. Biomedical text data mining is concerned with automated methods for analyzing the content of these documents and discovering
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Ontology Design for Biomedical Text Mining
2007Text Mining in biology and biomedicine requires a large amount of domain-specific knowledge. Publicly accessible resources hold much of the information needed, yet their practical integration into natural language processing (NLP) systems is fraught with manifold hurdles, especially the problem of semantic disconnectedness throughout the various ...
René Witte +2 more
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Adversarial Constraint Evaluation on Biomedical Text Mining
2021Language model pre-training has been shown to be effective for improving many NLP tasks, relying on its ability of representing complex context. The BERT language model (LM) has achieved remarkable results in standard performance indicators for tasks such as Named Entity Recognition (NER) and Semantic Text Similarity (STS), and has made significant ...
Yashen Wang, Huanhuan Zhang
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Text-mining solutions for biomedical research: enabling integrative biology
Nature Reviews Genetics, 2012In response to the unbridled growth of information in literature and biomedical databases, researchers require efficient means of handling and extracting information. As well as providing background information for research, scientific publications can be processed to transform textual information into database content or complex networks and can be ...
Dietrich Rebholz-Schuhmann +1 more
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Database J. Biol. Databases Curation
The Comparative Toxicogenomics Database (CTD) is a manually curated knowledge- and discovery-base that seeks to advance understanding about the relationship between environmental exposures and human health. CTD’s manual curation process extracts from the
Thomas C. Wiegers +9 more
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The Comparative Toxicogenomics Database (CTD) is a manually curated knowledge- and discovery-base that seeks to advance understanding about the relationship between environmental exposures and human health. CTD’s manual curation process extracts from the
Thomas C. Wiegers +9 more
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Terminological resources for text mining over biomedical scientific literature
Artificial Intelligence in Medicine, 2011We present a combined terminological resource for text mining over biomedical literature. The purpose of the resource is to allow the detection of mentions of specific biological entities in scientific publications, and their grounding to widely accepted identifiers.
Rinaldi, Fabio, Kaljurand, K, Saetre, R
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Biomedical Hypothesis Generation by Text Mining and Gene Prioritization
Protein & Peptide Letters, 2013Text mining methods can facilitate the generation of biomedical hypotheses by suggesting novel associations between diseases and genes. Previously, we developed a rare-term model called RaJoLink (Petric et al, J. Biomed. Inform. 42(2): 219-227, 2009) in which hypotheses are formulated on the basis of terms rarely associated with a target domain.
Petrič I +3 more
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Biomedical Text Mining: Experience and Practical Approach
2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence, 2015The fields of biomedical researches included biology and medicine has resulted in a sheer amount of published reports, and papers. Above all biomedical text mining has emerged as a vital research domain that has an impact in the project development of these research areas.
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