A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes
(2015) 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 2015. p.22-2119- 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.
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https://lup.lub.lu.se/record/3833de4c-29d0-42c4-82cb-566835bee0c1
- author
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- 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
- host publication
- 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- series title
- Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
- volume
- 2015
- pages
- 22 - 2119
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- conference location
- Milan, Italy
- conference dates
- 2015-08-25 - 2015-08-29
- external identifiers
-
- scopus:84953264433
- pmid:26736707
- ISSN
- 1557-170X
- ISBN
- 978-1-4244-9271-8
- DOI
- 10.1109/EMBC.2015.7318807
- language
- English
- LU publication?
- yes
- id
- 3833de4c-29d0-42c4-82cb-566835bee0c1
- date added to LUP
- 2019-01-21 13:04:13
- date last changed
- 2024-07-23 07:34:32
@inproceedings{3833de4c-29d0-42c4-82cb-566835bee0c1, abstract = {{<p>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. </p>}}, author = {{Sambo, Francesco and Di Camillo, Barbara and Franzin, Alberto and Facchinetti, Andrea and Hakaste, Liisa and Kravic, Jasmina and Fico, Giuseppe and Tuomilehto, Jaakko and Groop, Leif and Gabriel, Rafael and Tuomi, Tiinamaija and Cobelli, Claudio}}, booktitle = {{2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}}, isbn = {{978-1-4244-9271-8}}, issn = {{1557-170X}}, 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}}, language = {{eng}}, pages = {{22--2119}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings}}, title = {{A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes}}, url = {{http://dx.doi.org/10.1109/EMBC.2015.7318807}}, doi = {{10.1109/EMBC.2015.7318807}}, volume = {{2015}}, year = {{2015}}, }