Recent advances and emerging applications in text and data mining for biomedical discovery

Graciela H. Gonzalez, Tasnia Tahsin, Britton C. Goodale, Anna C. Greene, Casey S. Greene

    Research output: Contribution to journalArticle

    61 Scopus citations

    Abstract

    Precision medicine will revolutionize the way we treat and prevent disease. A major barrier to the implementation of precision medicine that clinicians and translational scientists face is understanding the underlying mechanisms of disease. We are starting to address this challenge through automatic approaches for information extraction, representation and analysis. Recent advances in text and data mining have been applied to a broad spectrum of key biomedical questions in genomics, pharmacogenomics and other fields. We present an overview of the fundamental methods for text and data mining, as well as recent advances and emerging applications toward precision medicine.

    Original languageEnglish (US)
    Article numberbbv087
    Pages (from-to)33-42
    Number of pages10
    JournalBriefings in Bioinformatics
    Volume17
    Issue number1
    DOIs
    Publication statusPublished - Jan 1 2016

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    Keywords

    • Biomedical discovery
    • Data mining
    • Gene prioritization
    • Pharmacogenomics
    • Text mining
    • Toxicology

    ASJC Scopus subject areas

    • Molecular Biology
    • Information Systems

    Cite this

    Gonzalez, G. H., Tahsin, T., Goodale, B. C., Greene, A. C., & Greene, C. S. (2016). Recent advances and emerging applications in text and data mining for biomedical discovery. Briefings in Bioinformatics, 17(1), 33-42. [bbv087]. https://doi.org/10.1093/bib/bbv087