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Forecasting Meningitis with Machine Learning: An Advanced Classification Model Analysis

  • Conference paper
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MEDICON’23 and CMBEBIH’23 (MEDICON 2023, CMBEBIH 2023)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 93))

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Abstract

Meningitis is a life-threatening disease that can lead to severe neurological damage and death if not diagnosed and treated in a timely manner. In this study, the application of machine learning methods to create a predictive model for meningitis diagnosis based on clinical signs, blood, protein, and other health parameters is explored. Our goal is to determine the most reliable and accurate method of meningitis prediction. We analyze a sizable dataset of meningitis patients using cutting-edge classification techniques, such as Support Vector Machines and Random Forest. Findings have shown that machine learning techniques can accurately estimate a patient's risk of meningitis. The importance of features for meningitis diagnosis is determined by evaluating them, and the effectiveness of various models is also compared.

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Acknowledgments

This work is supported in part by H2020 EUROCC project—National Competence Centres in the framework of EuroHPC”, Grant Agreement 951740. EuroHPC JU receives support from the EU’s Horizon 2020 research and innovation programme and EUROCC project participating institutions.

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Authors and Affiliations

  1. University of Donja Gorica, Oktoih 1, Podgorica, 81000, Montenegro

    Benjamin Dobardžić, Armin Alibašić, Nela Milošević, Bojana Mališić & Milica Vukotić

Authors
  1. Benjamin Dobardžić
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  2. Armin Alibašić
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  3. Nela Milošević
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  4. Bojana Mališić
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  5. Milica Vukotić
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Corresponding author

Correspondence to Benjamin Dobardžić .

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Editors and Affiliations

  1. Verlab Research Institute for Biomedical Engineering, Medical Devices, and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina

    Almir Badnjević

  2. Verlab Research Institute for Biomedical Engineering, Medical Devices, and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina

    Lejla Gurbeta Pokvić

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Dobardžić, B., Alibašić, A., Milošević, N., Mališić, B., Vukotić, M. (2024). Forecasting Meningitis with Machine Learning: An Advanced Classification Model Analysis. In: Badnjević, A., Gurbeta Pokvić, L. (eds) MEDICON’23 and CMBEBIH’23. MEDICON CMBEBIH 2023 2023. IFMBE Proceedings, vol 93. Springer, Cham. https://doi.org/10.1007/978-3-031-49062-0_76

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  • DOI: https://doi.org/10.1007/978-3-031-49062-0_76

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49061-3

  • Online ISBN: 978-3-031-49062-0

  • eBook Packages: EngineeringEngineering (R0)

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