Clinical assessment using an algorithm based on fuzzy C-means clustering

A. Guijarro-Rodriguez, L. Cevallos-Torres, J. Yepez-Holguin, M. Botto-Tobar

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    The Fuzzy c-means (FCM) algorithms define a grouping criterion from a function, which seeks to minimize iteratively the function up to until an optimal fuzzy partition is obtained. In the execution of this algorithm each element to the clusters is related to others that belong in the same n-dimensional space, which means that an element can belong to more than one clusters. This proposal aims to define a fuzzy clustering algorithm which allows the patient classifications based on the clinical assessment of the medical staff. In this work 30 cases were studied using the Glasgow Coma Scale to measure the level of awareness for each one which were prioritized by triage Manchester method. After applying the FCM algorithm the data is separated data into two clusters, thus, verified the fuzzy grouping in patients with a degree of membership that specifies the level of prioritization.

    Original languageEnglish
    Title of host publicationTechnologies and Innovation : Third International Conference, CITI 2017, Guayaquil, Ecuador, October 24-27, 2017 : Proceedings
    EditorsRafael Valencia-Garcia, Katty Lagos-Ortiz, Javier Del Cioppo, Nestor Vera-Lucio, Martha Bucaram-Leverone, Gema Alcaraz-Marmol
    Place of PublicationCham
    PublisherSpringer
    Pages181-193
    Number of pages13
    ISBN (Electronic)978-3-319-67283-0
    ISBN (Print) 978-3-319-67282-3
    DOIs
    Publication statusPublished - 2017
    Event3rd International Conference on Technologies and Innovation (CITI 2017) - Universidad Agraria del Ecuador, Guayaquil, Ecuador
    Duration: 24 Oct 201727 Oct 2017
    Conference number: 3

    Publication series

    NameCommunications in Computer and Information Science
    PublisherSpringer
    Volume749
    ISSN (Print)1865-0929
    ISSN (Electronic)1865-0937

    Conference

    Conference3rd International Conference on Technologies and Innovation (CITI 2017)
    Abbreviated titleCITI 2017
    CountryEcuador
    CityGuayaquil
    Period24/10/1727/10/17

    Keywords

    • Clinical assessment
    • Fuzzy grouping
    • Fuzzy logic
    • Glasgow
    • Triage

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