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  • Exploring biomedical records through text mining-driven complex data visualisation [Elektronski vir]
    Pita Costa, João ...
    The recent events in health call for the prioritization of insightful and meaningful information retrieval from the fastly growing pool of biomedical knowledge. This information has its own ... challenges both in the data itself and in its appropriate representation, enhancing its usability by health professionals. In this paper we present a framework leveraging the MEDLINE dataset and its controlled vocabulary, the MeSH Headings, to annotate and explore health-related documents. The MEDijs system ingests and automatically annotates text documents, extending their legacy metadata with MeSH Headings. It then uses text mining algorithms that enable interactive data visualisations. These allow the user to the exploration of the enriched data made available by the MEDijs system.
    Vir: medRxiv [Elektronski vir] : the preprint server for health sciences (Mar. 2021, 1-14 str.)
    Vrsta gradiva - e-članek ; neleposlovje za odrasle
    Leto - 2021
    Jezik - angleški
    COBISS.SI-ID - 225289731

    Povezava(-e):

    https://www.medrxiv.org/content/10.1101/2021.03.27.21250248v1.full.pdf+html
    DOI

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