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 journalArticlepeer-review

    74 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)
    Pages (from-to)33-42
    Number of pages10
    JournalBriefings in bioinformatics
    Volume17
    Issue number1
    DOIs
    StatePublished - Jan 1 2016

    Keywords

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

    ASJC Scopus subject areas

    • Information Systems
    • Molecular Biology

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