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

Annu Int Conf IEEE Eng Med Biol Soc. 2015:2015:2119-22. doi: 10.1109/EMBC.2015.7318807.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • Databases, Factual
  • Diabetes Mellitus, Type 2 / etiology*
  • Finland
  • Glucose Tolerance Test
  • Humans
  • Male
  • Metabolic Syndrome / complications*
  • Models, Statistical*
  • Risk Factors
  • Spain
  • White People