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Volume 15 Supplement 2

Louhi 2014: Special Issue on Health Text Mining and Information Analysis

Proceedings

Edited by Sumithra Velupillai, Martin Duneld, Aron Henriksson, Maria Kvist, Maria Skeppstedt and Hercules Dalianis

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. Articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Louhi 2014: The Fifth International Workshop on Health Text Mining and Information Analysis. Go to conference site.

Gothenburg, Sweden27 April 2014

  2. Patients' health related information is stored in electronic health records (EHRs) by health service providers. These records include sequential documentation of care episodes in the form of clinical notes. EHRs ...

    Authors: Hans Moen, Filip Ginter, Erwin Marsi, Laura-Maria Peltonen, Tapio Salakoski and Sanna Salanterä
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S2
    Content type: Proceedings Published on:

  3. Phenotypic information locked away in unstructured narrative text presents significant barriers to information accessibility, both for clinical practitioners and for computerised applications used for clinical...

    Authors: Noha Alnazzawi, Paul Thompson, Riza Batista-Navarro and Sophia Ananiadou
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S3
    Content type: Proceedings Published on:

  6. Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high...

    Authors: Isabel Segura-Bedmar, Paloma Martínez, Ricardo Revert and Julián Moreno-Schneider
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S6
    Content type: Proceedings Published on:
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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