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Navigating through Very Large Sets of Medical Records: An Information Retrieval Evaluation Architecture for Non-standardized Text

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Information Quality in e-Health (USAB 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7058))

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Abstract

Despite the prevalence of informatics and advanced information systems, there exists large amounts of unstructured text data. This is especially true in medicine and health care, where free text is an indispensable part of information representation. In this paper, the motivation behind developing information retrieval systems in medicine and health care is described. An overview of information retrieval evaluation is given, before describing the architecture and the development of an extendible information retrieval evaluation framework. This framework allows different information retrieval tools to be compared to a gold standard in order to test its effectiveness. The paper also gives a review of available gold standards which can be used for research purposes in the area of information retrieval of medical free texts.

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Author information

Authors and Affiliations

  1. Institute for Medical Informatics, Statistics and Documentation, Auenbruggerplatz 2, 8036, Graz, Austria

    Markus Kreuzthaler, Marcus Bloice, Klaus-Martin Simonic & Andreas Holzinger

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  1. Markus Kreuzthaler
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  2. Marcus Bloice
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  3. Klaus-Martin Simonic
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  4. Andreas Holzinger
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Editors and Affiliations

  1. Institute of Medical Informatics, Statistics and Documentation (IMI), Research Unit Human–Computer Interaction, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger  & Klaus-Martin Simonic  & 

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Kreuzthaler, M., Bloice, M., Simonic, KM., Holzinger, A. (2011). Navigating through Very Large Sets of Medical Records: An Information Retrieval Evaluation Architecture for Non-standardized Text. In: Holzinger, A., Simonic, KM. (eds) Information Quality in e-Health. USAB 2011. Lecture Notes in Computer Science, vol 7058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25364-5_32

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  • DOI: https://doi.org/10.1007/978-3-642-25364-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25363-8

  • Online ISBN: 978-3-642-25364-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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