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Leif Groop

Leif Groop

Principal investigator

Leif Groop

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

Summary, in English

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.

Department/s

  • Genomics, Diabetes and Endocrinology
  • EXODIAB: Excellence of Diabetes Research in Sweden

Publishing year

2015

Language

English

Pages

22-2119

Publication/Series

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volume

2015

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Endocrinology and Diabetes
  • Public Health, Global Health, Social Medicine and Epidemiology

Keywords

  • Bayes Theorem
  • Databases, Factual
  • Diabetes Mellitus, Type 2/etiology
  • European Continental Ancestry Group
  • Finland
  • Glucose Tolerance Test
  • Humans
  • Male
  • Metabolic Syndrome/complications
  • Models, Statistical
  • Risk Factors
  • Spain

Conference name

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Conference date

2015-08-25 - 2015-08-29

Conference place

Milan, Italy

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Other

  • ISSN: 1557-170X
  • ISBN: 978-1-4244-9271-8