title: A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes.
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.
authors.forename: Francesco
authors.initials: F
authors.lastname: Sambo
authors.forename: Barbara
authors.initials: B
authors.lastname: Di Camillo
authors.forename: Alberto
authors.initials: A
authors.lastname: Franzin
authors.forename: Andrea
authors.initials: A
authors.lastname: Facchinetti
authors.forename: Liisa
authors.initials: L
authors.lastname: Hakaste
authors.forename: Jasmina
authors.initials: J
authors.lastname: Kravic
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Fico
authors.forename: Jaakko
authors.initials: J
authors.lastname: Tuomilehto
authors.forename: Leif
authors.initials: L
authors.lastname: Groop
authors.forename: Rafael
authors.initials: R
authors.lastname: Gabriel
authors.forename: Tiinamaija
authors.initials: T
authors.lastname: Tuomi
authors.forename: Claudio
authors.initials: C
authors.lastname: Cobelli
mesh_terms: D001499:Bayes Theorem; D016208:Databases, Factual; D003924:Diabetes Mellitus, Type 2 / Q000209:etiology*; D005387:Finland; D005951:Glucose Tolerance Test; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000150:complications*; D015233:Models, Statistical; D012307:Risk Factors; D013030:Spain; D044465:White People