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Fuzzy System for Identifying Pregnancy with a Risk of Maternal Death

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

A fuzzy system for identifying pregnancy with a risk of maternal death is proposed in this paper. The system aims at identifying a high risk of maternal death, be it during pregnancy, or within 42 h after childbirth. The maternal age, number of prenatal appointments, and previous number of children/childbirth correspond to the input linguistic variables used to compute the risk of maternal death. The proposed approach employs the Mamdani inference system to represent the uncertainty and imprecision concerning the sort of diagnosing variables. Results demonstrate that the non-invasive system can be used by different health professionals, including in a screening process for pregnancy, thus avoiding maternal deaths.

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Notes

  1. 1.

    Disclaimer: The fuzzy rules listed here should not be used in clinical diagnosis without consulting experienced physicians.

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Acknowledgements

The author Caroline M. D. Xesquevixos thanks the Biomedical Engineering Center University Anhembi Morumbi by the sponsor of the Doctorate Degree.

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Authors and Affiliations

  1. PPG Stricto Sensu em Engenharia Biomédica, Universidade Anhembi Morumbi (UAM), São José dos Campos, SP, Brazil

    C.  M.  D.  Xesquevixos & E. Araujo

  2. Centro de Inovação, Tecnologia e Educação (CITE), Parque Tecnológico, São José dos Campos, Brazil

    E. Araujo

  3. Inteligência Artificial em Medicina e Saúde (IAMED), São José dos Campos, Brazil

    E. Araujo

Authors
  1. C.  M.  D.  Xesquevixos
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  2. E. Araujo
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Corresponding author

Correspondence to C.  M.  D.  Xesquevixos .

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Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Xesquevixos, C.M.D., Araujo, E. (2022). Fuzzy System for Identifying Pregnancy with a Risk of Maternal Death. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_153

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_153

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

  • eBook Packages: EngineeringEngineering (R0)

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