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Special Issue on the Curative Power of Medical Data

Author

Listed:
  • Daniela Gîfu

    (Institute of Computer Science, Romanian Academy-Iasi branch, Iasi 700481, Romania
    Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi, Iași 700483, Romania
    Cognos Business Consulting S.R.L., 7, Iuliu Maniu Blvd, Bucharest 061072, Romania)

  • Diana Trandabăț

    (Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi, Iași 700483, Romania)

  • Kevin Cohen

    (Computational Bioscience Program, University of Colorado School of Medicine, Aurora, CO 80045, USA)

  • Jingbo Xia

    (Department of Biostatistics, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

With the massive amounts of medical data made available online, language technologies have proven to be indispensable in processing biomedical and molecular biology literature, health data or patient records. With huge amount of reports, evaluating their impact has long ceased to be a trivial task. Linking the contents of these documents to each other, as well as to specialized ontologies, could enable access to and the discovery of structured clinical information and could foster a major leap in natural language processing and in health research. The aim of this Special Issue, “Curative Power of Medical Data” in Data , is to gather innovative approaches for the exploitation of biomedical data using semantic web technologies and linked data by developing a community involvement in biomedical research. This Special Issue contains four surveys, which include a wide range of topics, from the analysis of biomedical articles writing style, to automatically generating tests from medical references, constructing a Gold standard biomedical corpus or the visualization of biomedical data.

Suggested Citation

  • Daniela Gîfu & Diana Trandabăț & Kevin Cohen & Jingbo Xia, 2019. "Special Issue on the Curative Power of Medical Data," Data, MDPI, vol. 4(2), pages 1-4, June.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:2:p:85-:d:239724
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    References listed on IDEAS

    as
    1. Mihaela Onofrei Plămadă & Diana Trandabăț & Daniela Gîfu, 2019. "Towards Identifying Author Confidence in Biomedical Articles," Data, MDPI, vol. 4(1), pages 1-11, January.
    2. Maria Mitrofan & Verginica Barbu Mititelu & Grigorina Mitrofan, 2018. "Towards the Construction of a Gold Standard Biomedical Corpus for the Romanian Language," Data, MDPI, vol. 3(4), pages 1-12, November.
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