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Biomedical Text Mining Using a Grid Computing Approach
2008Extracting useful information from a very large amount of biomedical texts is an important and difficult activity in biomedicine field. Data to be examined are generally unstructured and the available computational resources do not still provide adequate mechanisms for retrieving and analyse very large amount of contents.
CASTELLANO, Marcello +6 more
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Detecting Invalid Dictionary Entries for Biomedical Text Mining
2006In text mining, to calculate precise keyword frequency distributions in a particular document collection, we need to map different keywords that denote the same entity to a canonical form. In the life science domain, we can construct a large dictionary that contains the canonical forms and their variants based on the information from external resources
Hironori Takeuchi +4 more
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Introduction to Biomedical Literature Text Mining: Context and Objectives
2014If you are reading this, you know how important it is and almost certainly look to the biomedical literature for a large part of the information you need. We work hard to find more and more biomedical literature, seeking new content from multiple sources. But, can there be too much of a good thing? Most science is reductionist by nature.
Jeffrey D, Saffer, Vicki L, Burnett
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Biomedical text mining for semantic search and knowledge discovery
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, 2012Text mining based on semantic annotations is increasingly used to support semantic search and knowledge discovery in a number of biomedical applications. Recently, the extraction of complex events based on rich semantic metadata has been used for customized text mining applications such as query-answering systems, advanced searching, etc.
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Text Mining for Automatic Lexical Analysis of Layman Text of Biomedical Argument
2009Despite various efforts to improve reliability of health care material on the world wide web in recent years, progress on this issue has been limited. Thus far, a variety of terms intended to describe this issue, including quality, trustworthiness, and credibility have been used.
D. Defilippi +2 more
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Trends and Techniques of Biomedical Text Mining: A Review
2022Maliha Rashida +3 more
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Towards a terminological resource for biomedical text mining
Proceedings of the Language Resources and Evaluation Conference, 2006Nenadic, G.; id_orcid 0000-0003-0795-5363 +2 more
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