IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-41862-5_101.html
   My bibliography  Save this book chapter

Interval Type-2 Fuzzy Logic Based Decision Support System for Cardiac Risk Assessment

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Gujarathi Trupti

    (College of Engineering Pune, Department of Instrumentation and Control Engineering)

  • Bhole Kalyani

    (College of Engineering Pune, Department of Instrumentation and Control Engineering)

Abstract

Cardiovascular diseases are commonly found all over the world. Patients having Cardiovascular risk (CVR) should not stop doing their daily activities without any fear or risk. This is achievable by continuous monitoring of the cardiovascular system to diagnose and avoid cardiovascular traumas such as cardiac arrest, in the minimum time. A little awareness and expert’s based decision support system would help patient to analyze the symptoms of cardiac arrest. This would help patient to get medical help as soon as possible and avoid the risk of cardiac arrest. In this paper, we designed a decision support system using fuzzy logic which allows us to represent the expert’s knowledge in terms of mathematics, accepting some level of uncertainties which lies within experts. Interval Type-2 based fuzzy logic system is designed and implemented using MATLAB. Developed system is tested on ten patients out of which eight patients diagnosis has validated with the test results. As this system is completely based on expert’s expertise, accuracy of the developed system depends on expert’s skill.

Suggested Citation

  • Gujarathi Trupti & Bhole Kalyani, 2020. "Interval Type-2 Fuzzy Logic Based Decision Support System for Cardiac Risk Assessment," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 995-1008, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_101
    DOI: 10.1007/978-3-030-41862-5_101
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-41862-5_101. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.