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International Workshop on Fuzzy Logic and Applications

WILF 2018: Fuzzy Logic and Applications pp 97–108Cite as

A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11291))

Abstract

In medical problems both the information and the reasoning used by clinicians for drawing conclusions about patients’ health are inherently uncertain and vague. Fuzzy logic is a powerful tool for representing and handling this uncertainty, leading to fuzzy systems that can support decisions in medical diagnosis. In this work we propose a fuzzy rule-based system to support the expert in decision making for cardiovascular diseases that are of particular interest due to their obvious medical diagnostic importance. Preliminary experimental results on both healthy and ill people show the effectiveness of the fuzzy system in simulating the decision of the expert.

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Notes

  1. 1.

    https://www.cio.com/article/2860072/healthcare/how-cios-can-prepare-for-healthcare-data-tsunami.html.

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Acknowledgement

The authors are thankful to Dr. Ilaria Engaddi from “Istituti Milanesi Martinitt e Stelline e Pio Albergo Trivulzio” (Milan, Italy) for providing her knowledge and expertise useful to define the fuzzy rule base.

Author information

Authors and Affiliations

  1. Computer Science Department, Università degli Studi di Bari Aldo Moro, Bari, Italy

    Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie & Gianluca Zaza

  2. INdAM Research group GNCS, Rome, Italy

    Gabriella Casalino, Giovanna Castellano & Ciro Castiello

Authors
  1. Gabriella Casalino
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  2. Giovanna Castellano
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  3. Ciro Castiello
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  4. Vincenzo Pasquadibisceglie
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  5. Gianluca Zaza
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Corresponding author

Correspondence to Giovanna Castellano .

Editor information

Editors and Affiliations

  1. Széchenyi István University, Győr, Hungary

    Robert Fullér

  2. Ca’ Foscari University of Venice, Venice, Italy

    Silvio Giove

  3. University of Genoa, Genoa, Italy

    Francesco Masulli

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Casalino, G., Castellano, G., Castiello, C., Pasquadibisceglie, V., Zaza, G. (2019). A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment. In: Fullér, R., Giove, S., Masulli, F. (eds) Fuzzy Logic and Applications. WILF 2018. Lecture Notes in Computer Science(), vol 11291. Springer, Cham. https://doi.org/10.1007/978-3-030-12544-8_8

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  • DOI: https://doi.org/10.1007/978-3-030-12544-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12543-1

  • Online ISBN: 978-3-030-12544-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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