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Automatic Classification of Text Documents Presenting Radiology Examinations

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Information Technology in Biomedicine (ITIB 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 762))

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Abstract

The paper presents the classification of text documents presenting radiology examinations, taking into consideration two groups: cases with aneurysms and those without it. A database containing descriptions of 1284 cases was classified using the maximum entropy algorithm and frequent phrase extraction. It was revealed that the best method was the classifier using the maximum entropy algorithm based on nouns. The best result obtained was 90% of sensitivity and 70% of specificity. The worse diagnostic capacity demonstrates frequent phrase extraction algorithm. The other classifiers turned out to be less effective, than the random ones.

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Acknowledgement

This research was supported by the Polish Ministry of Science and Silesian University of Technology statutory financial support partially by grant No. BK-200/RIB1/2016 and grant No. BK-200/RIB1/2017.

Author information

Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland

    Monika Kłos & Dominik Spinczyk

  2. Second Department of Clinical Radiology, Medical University of Warsaw, Banacha 1a, 02-097, Warszawa, Poland

    Jarosław Żyłkowski

Authors
  1. Monika Kłos
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  2. Jarosław Żyłkowski
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  3. Dominik Spinczyk
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Corresponding author

Correspondence to Dominik Spinczyk .

Editor information

Editors and Affiliations

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

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Pawel Badura

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

    Jacek Kawa

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

    Wojciech Wieclawek

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Kłos, M., Żyłkowski, J., Spinczyk, D. (2019). Automatic Classification of Text Documents Presenting Radiology Examinations. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-91211-0_43

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