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Mining the Biomedical Literature

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Title: Mining the Biomedical Literature
Description: A concise introduction to fundamental methods for finding and extracting relevant information from the ever-increasing amounts of biomedical text availableThe introduction of high-throughput methods has transformed biology into a data-rich science. Knowledge about biological entities and processes has traditionally been acquired by thousands of scientists through decades of experimentation and analysis. The current abundance of biomedical data is accompanied by the creation and quick dissemination of new information. Much of this information and knowledge, however, is represented only in text form—in the biomedical literature, lab notebooks, Web pages, and other sources. Researchers'need to find relevant information in the vast amounts of text has created a surge of interest in automated text-analysis.In this book, Hagit Shatkay and Mark Craven offer a concise and accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the relevant sources of biomedical text; text-analysis methods in natural language processing; the tasks of information extraction, information retrieval, and text categorization; and methods for empirically assessing text-mining systems. Finally, the authors describe several applications that recognize entities in text and link them to other entities and data resources, support the curation of structured databases, and make use of text to enable further prediction and discovery.
Authors: Hagit Shatkay, Mark Craven
Resource Type: eBook.
Subjects: Information retrieval, Content analysis (Communication), Data mining, Biological literature--Data processing, Medical literature--Data processing, Medical informatics, Information storage and retrieval systems--Biology, Information storage and retrieval systems--Medicine, Bioinformatics
Categories: SCIENCE / Life Sciences / Biology, TECHNOLOGY & ENGINEERING / Biomedical
Database: eBook Collection (EBSCOhost)
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  Data: A concise introduction to fundamental methods for finding and extracting relevant information from the ever-increasing amounts of biomedical text availableThe introduction of high-throughput methods has transformed biology into a data-rich science. Knowledge about biological entities and processes has traditionally been acquired by thousands of scientists through decades of experimentation and analysis. The current abundance of biomedical data is accompanied by the creation and quick dissemination of new information. Much of this information and knowledge, however, is represented only in text form—in the biomedical literature, lab notebooks, Web pages, and other sources. Researchers'need to find relevant information in the vast amounts of text has created a surge of interest in automated text-analysis.In this book, Hagit Shatkay and Mark Craven offer a concise and accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the relevant sources of biomedical text; text-analysis methods in natural language processing; the tasks of information extraction, information retrieval, and text categorization; and methods for empirically assessing text-mining systems. Finally, the authors describe several applications that recognize entities in text and link them to other entities and data resources, support the curation of structured databases, and make use of text to enable further prediction and discovery.
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        Type: prePub
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Information retrieval
        Type: general
      – SubjectFull: Content analysis (Communication)
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Biological literature--Data processing
        Type: general
      – SubjectFull: Medical literature--Data processing
        Type: general
      – SubjectFull: Medical informatics
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      – SubjectFull: Information storage and retrieval systems--Biology
        Type: general
      – SubjectFull: Information storage and retrieval systems--Medicine
        Type: general
      – SubjectFull: Bioinformatics
        Type: general
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      – TitleFull: Mining the Biomedical Literature
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          Name:
            NameFull: Hagit Shatkay
      – PersonEntity:
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            NameFull: Mark Craven
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            NameFull: Hagit Shatkay
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            NameFull: Mark Craven
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2012
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
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              Value: 9780262017695
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              Value: 9780262305167
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