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- Sambo, Francesco, et al.
(författare)
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A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes
- 2015
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Ingår i: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). - 1557-170X. - 9781424492718 ; 2015, s. 22-2119
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Konferensbidrag (refereegranskat)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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- Sambo, Francesco, et al.
(författare)
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A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes
- 2015
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Ingår i: Lecture Notes in Computer Science. - Cham : Springer International Publishing. - 0302-9743 .- 1611-3349. ; 9105, s. 172-176
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Konferensbidrag (refereegranskat)abstract
- We propose a novel Bayesian network tool to model the probabilistic relations between a set of type 2 diabetes risk factors. The tool can be used for probabilistic reasoning and for imputation of missing values among risk factors. The Bayesian network is learnt from a joint training set of three European population studies. Tested on an independent patient set, the network is shown to be competitive with both a standard imputation tool and a widely used risk score for type 2 diabetes, providing in addition a richer description of the interdependencies between diabetes risk factors.
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