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Detection of Rare Elements in Investigation of Medical Problems

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Intelligent Information and Database Systems (ACIIDS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11431))

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Abstract

The task of detecting atypical (rare) elements is of major significance in the field of medical problems and its conditions seem to be specific in practice. Such elements, mostly concerned with pathology, are very different in nature and their set is often small in size with a low level of representativeness. A frequency approach was applied in the presented research, which, in conjunction with nonparametric methods, enabled the detection of atypical elements – in the case of distributions with many modes – also located between them, and not only lying on the peripheries of the population. Within the framework of the procedure investigated here, the database is artificially extended, which significantly improves the quality of results. The presented method has been successfully used for two medical problems: biochemical blood tests and the influence of hemoglobin levels on mortality.

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Acknowledgments

The work was supported in parts by the Systems Research Institute of the Polish Academy of Sciences in Warsaw, and the Faculty of Physics and Applied Computer Science of the AGH University of Science and Technology in Cracow, Poland.

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Authors and Affiliations

  1. Systems Research Institute, Centre of Information Technology for Data Analysis Methods, Polish Academy of Sciences, Warsaw, Poland

    Piotr Kulczycki & Damian Kruszewski

  2. Faculty of Physics and Applied Computer Science, Division for Information Technology and Systems Research, AGH University of Science and Technology, Kraków, Poland

    Piotr Kulczycki

Authors
  1. Piotr Kulczycki
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  2. Damian Kruszewski
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Corresponding author

Correspondence to Piotr Kulczycki .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Bina Nusantara University, Jakarta, Indonesia

    Ford Lumban Gaol

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Kulczycki, P., Kruszewski, D. (2019). Detection of Rare Elements in Investigation of Medical Problems. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_22

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  • DOI: https://doi.org/10.1007/978-3-030-14799-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14798-3

  • Online ISBN: 978-3-030-14799-0

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