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Similarity Search for the Content of Medical Records

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

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Abstract

The paper presents the possibility of direct comparison of medical text content by using unstructured representation of document information in frequency matrix of terms. Dimensionality reduction is performed using Latent Semantic Indexing method. Two common metrics are used: Cosine distance and Jaccard metric. Cosine measure shows a lower sensitivity for finding similar documents. The analysis was performed using SAS Text Analytics elements on set of 400 cases of description of abdominal radiological diagnostic images.

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Acknowledgments

The study was supported by National Science Center, Poland, Grant No UMO-2012/05/B/ST7/02136.

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Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, Zabrze, Poland

    Dominik Spinczyk

  2. SAS Institute Sp z o.o., Gdańska 27/31, 01-633, Warszawa, Poland

    Mariusz Dzieciątko

Authors
  1. Dominik Spinczyk
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  2. Mariusz Dzieciątko
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Corresponding author

Correspondence to Dominik Spinczyk .

Editor information

Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Spinczyk, D., Dzieciątko, M. (2016). Similarity Search for the Content of Medical Records. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_40

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

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