• DocumentCode
    3684374
  • Title

    A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes

  • Author

    Francesco Sambo;Barbara Di Camillo;Alberto Franzin;Andrea Facchinetti;Liisa Hakaste;Jasmina Kravic;Giuseppe Fico;Jaakko Tuomilehto;Leif Groop;Rafael Gabriel;Tiinamaija Tuomi;Claudio Cobelli

  • Author_Institution
    University of Padova, Italy
  • fYear
    2015
  • Firstpage
    2119
  • Lastpage
    2122
  • Abstract
    In order to better understand the relations between different risk factors in the predisposition to type 2 diabetes, we present a Bayesian Network analysis of a large dataset, composed of three European population studies. Our results show, together with a key role of metabolic syndrome and of glucose after 2 hours of an Oral Glucose Tolerance Test, the importance of education, measured as the number of years of study, in the predisposition to type 2 diabetes.
  • Keywords
    "Diabetes","Bayes methods","Sugar","Probabilistic logic","Insulin","Europe","Sociology"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318807
  • Filename
    7318807