• español
    • English
    • français
    • português
A+A-
  • English 
    • español
    • English
    • français
    • português
    • Usage guides
      • Guidelines for the advisor work direcor
      • Guidelines for the student who loads degree work
      • APA 7 Edition Standards
      • Tips APA 7 Edition Standards
    • Users
    View Item 
    •   National Open and Distance University UNAD
    • Producción Científica
    • Sello Editorial UNAD
    • Revista Nova
    • View Item
    •   National Open and Distance University UNAD
    • Producción Científica
    • Sello Editorial UNAD
    • Revista Nova
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment

    Thumbnail
    QRCode
    Share
    Author
    Yunda, Leonardo
    Pacheco, David
    Millan, Jorge
    Publisher
    Universidad Colegio Mayor de Cundinamarca

    Citación

           
    TY - GEN T1 - A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment AU - Yunda, Leonardo AU - Pacheco, David AU - Millan, Jorge UR - https://repository.unad.edu.co/handle/10596/46854 PB - Universidad Colegio Mayor de Cundinamarca AB - ER - @misc{10596_46854, author = {Yunda Leonardo and Pacheco David and Millan Jorge}, title = {A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment}, year = {}, abstract = {}, url = {https://repository.unad.edu.co/handle/10596/46854} }RT Generic T1 A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment A1 Yunda, Leonardo A1 Pacheco, David A1 Millan, Jorge LK https://repository.unad.edu.co/handle/10596/46854 PB Universidad Colegio Mayor de Cundinamarca AB OL Spanish (121)
    Bibliographic managers
    Refworks
    Zotero / EndNote / Mendeley
    BibTeX
    CiteULike
    Metadata
    Show full item record
    Abstract
    Developing a Web-based Fuzzy Inference Tool for cardiovascular risk assessment. The tool uses evidence-based medicine inference rules for membership classification. Methods. The system framework allows adding variables such as gender, age, weight, height, medication intake, and blood pressure, with various types of membership functions based on classification rules. Results. By inputting patient clinical data, the tool allows health professionals to obtain a prediction of cardiovascular risk. The tool can also be later used to predict other types of risks including cognitive and physical disease conditions.
    College
    https://hemeroteca.unad.edu.co/index.php/nova/article/view/1712/1965
    Format
    application/pdf
    Type of digital resource
    info:eu-repo/semantics/article
    info:eu-repo/semantics/publishedVersion
    info:eu-repo/article/published
    info:eu-repo/article/published
    info:eu-repo/article/published
    URI
    https://repository.unad.edu.co/handle/10596/46854
    URL source
    https://hemeroteca.unad.edu.co/index.php/nova/article/view/1712
    http://dx.doi.org/10.22490/24629448.1712
    Collections
    • Revista Nova [1177]
    Usage guidesNormativityGuidelines for the advisor work direcorGuidelines for the student who loads degree workAPA 7 Edition StandardsTips APA 7 Edition Standards

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    GTM statisticsGTM statistics
    Indexed by:
    logo_Open Archives Initiative
    logo_Biblioteca Digital Ecuatoriana
    logo_OpenDOAR
    logo_Open ROAR
    logo_Google Scholar
    logo_Lyrasis
    logo_WorldCat
    logo_FAO
    logo_AGRIS
    logo_Alianza de Servicios de Información Agropecuaria
    logo_Siembra
    logo_Fedesarrollo
    logo_Colombia Digital
    logo_Hemeroteca UNAD
    logo_RED DE REPOSITORIOS LATINOAMERICANOS
    logo_OAIster
    logo_La Referencia
    logo_Open AIRE
    logo_Core
    logo_Base
    logo_CLACSO
    logo_OpenAlex
    logos isopreadGreat Work to PlaceIcontec - Great Work to Place

    Línea anticorrupción: 3232641617 ext. 1544

    En Bogotá D.C. (Colombia) Teléfono: 323 264 1617 - Línea gratuita nacional: 323 264 1617

    Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional

    Universidad Nacional Abierta y a Distancia UNAD de Colombia - © Copyright UNAD 2024

    Síguenos en: