Contextualisation of Biomedical Knowledge through Large-scale Processing of Literature, Clinical Narratives and Social Media

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    Abstract

    Medicine is often pictured as one of the main examples of “big data science” with a number of challenges and successful stories where data have saved lives [1]. In addition to structured databases that store expert-curated information, unstructured and semi-structured data is a huge and often most up-to-date resource of medical knowledge. These include scientific literature, clinical narratives and social media, which typically capture findings, knowledge and experience of the three main “stakeholder” communities: researchers, clinicians and patients/carers. The ability to harness such data is essential for the integration of medical information to support clinical decision making and medical research.
    Original languageEnglish
    Pages (from-to)7-9
    Number of pages2
    JournalLecture Notes in Computer Science
    Volume9105
    DOIs
    Publication statusPublished - 2015

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