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International Conference on Hybrid Artificial Intelligence Systems

HAIS 2020: Hybrid Artificial Intelligent Systems pp 739–750Cite as

A Hybrid Bio-inspired Clustering Approach for Diagnosing Children with Primary Headache Disorder

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12344))

Abstract

Half of the general population experiences a headache during any given year. Medical data and information in turn provide knowledge based on which physicians make scientific decisions for diagnosis and treatments. It is, therefore, very useful to create diagnostic tools to help physicians make better decisions. This paper is focused on a new approach based on a model for combining fuzzy partition method and bat clustering algorithm for diagnosing children with primary headache disorder. The proposed hybrid system is tested on data set collected from hospitalized children in Clinical Centre of Vojvodina, Novi Sad, Serbia.

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Author information

Authors and Affiliations

  1. Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 1–9, 21000, Novi Sad, Serbia

    Svetlana Simić

  2. Clinical Centre of Vojvodina, Hajduk Veljkova 1–9, 21000, Novi Sad, Serbia

    Slađana Sakač

  3. Frontiers Media SA, Paseo de Castellana 77, Madrid, Spain

    Zorana Banković

  4. University of Oviedo, Campus de Llamaquique, 33005, Oviedo, Spain

    José R. Villar

  5. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Svetislav D. Simić & Dragan Simić

Authors
  1. Svetlana Simić
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  2. Slađana Sakač
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  3. Zorana Banković
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  4. José R. Villar
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  5. Svetislav D. Simić
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  6. Dragan Simić
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Corresponding author

Correspondence to Dragan Simić .

Editor information

Editors and Affiliations

  1. University of Oviedo, Oviedo, Spain

    Enrique Antonio de la Cal

  2. University of Oviedo, Oviedo, Spain

    José Ramón Villar Flecha

  3. University of A Coruña, Ferrol, Spain

    Héctor Quintián

  4. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Cite this paper

Simić, S., Sakač, S., Banković, Z., Villar, J.R., Simić, S.D., Simić, D. (2020). A Hybrid Bio-inspired Clustering Approach for Diagnosing Children with Primary Headache Disorder. In: de la Cal, E.A., Villar Flecha, J.R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2020. Lecture Notes in Computer Science(), vol 12344. Springer, Cham. https://doi.org/10.1007/978-3-030-61705-9_62

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  • DOI: https://doi.org/10.1007/978-3-030-61705-9_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61704-2

  • Online ISBN: 978-3-030-61705-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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