Results 11 to 20 of about 90,813 (262)
Frontiers of biomedical text mining: current progress [PDF]
Briefings in Bioinformatics, 2007 It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction.
Pierre, Zweigenbaum +3 more
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IEEE Access, 2019 Text data plays an imperative role in the biomedical domain. As patient's data comprises of a huge amount of text documents in a non-standardized format.
Junaid Rashid +6 more
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A survey of current work in biomedical text mining [PDF]
Briefings in Bioinformatics, 2005 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 researchers in coping with this information overload are text mining and knowledge extraction.
Aaron M, Cohen, William R, Hersh
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Biomedical text mining and its applications in cancer research
Journal of Biomedical Informatics, 2013 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 cancer research. This integrated but unstructured biomedical text is of great value for cancer diagnostics, treatment, and prevention.
Zhu, Fei +7 more
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Biomedical text mining for research rigor and integrity: tasks, challenges, directions. [PDF]
Brief Bioinform, 2018 Kilicoglu H.
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Opinion: Strategy of Semi-Automatically Annotating a Full-Text Corpus of [PDF]
Genomics & Informatics, 2018 There is a communal need for an annotated corpus consisting of the full texts of biomedical journal articles. In response to community needs, a prototype version of the full-text corpus of Genomics & Informatics, called GNI version 1.0, has recently been
Hyun-Seok Park
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A novel multiple kernel fuzzy topic modeling technique for biomedical data
BMC Bioinformatics, 2022 Background Text mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data is in text format.
Junaid Rashid +4 more
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TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY [PDF]
Biocomputing 2013, 2012 The biggest challenge for text and data mining is to truly impact the biomedical discovery process, enabling scientists to generate novel hypothesis to address the most crucial questions. Among a number of worthy submissions, we have selected six papers that exemplify advances in text and data mining methods that have a demonstrated impact on a wide ...
Graciela, Gonzalez +7 more
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Chapter 16: text mining for translational bioinformatics. [PDF]
PLoS Computational Biology, 2013 Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical ...
K Bretonnel Cohen, Lawrence E Hunter
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GNI Corpus Version 1.0: Annotated Full-Text Corpus of to Support Biomedical Information Extraction [PDF]
Genomics & Informatics, 2018 Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of
So-Yeon Oh +4 more
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