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

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

Francesco Sambo, Barbara Di Camillo, Alberto Franzin, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, …
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol.2015-, pp.2119-2122
01/01/2015
DOI: https://doi.org/10.1109/EMBC.2015.7318807
PMID: 26736707

Abstract

Bayes methods Diabetes Europe Insulin Probabilistic logic Sociology Sugar
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.

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