Email this article Prediction of the Risk of Osteoporotic Fractures Using Bayesian Belief Networks
- Authors: Dmitriev G.A.1, Vetrov A.N.1, Al-Fakih A.S.1
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Affiliations:
- Tver State Technical University
- Issue: Vol 51, No 1 (2017)
- Pages: 24-27
- Section: Article
- URL: https://journals.rcsi.science/0006-3398/article/view/234862
- DOI: https://doi.org/10.1007/s10527-017-9677-8
- ID: 234862
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Abstract
Assignment of patients to fracture risk groups helps to select the optimum treatment strategy and decrease the probability of osteoporotic fractures. This article presents a novel approach to assessment of the risk of osteoporotic fractures using Bayesian networks. Results obtained using this approach are presented.
About the authors
G. A. Dmitriev
Tver State Technical University
Email: Susan.Goode@springer.com
Russian Federation, Tver
A. N. Vetrov
Tver State Technical University
Email: Susan.Goode@springer.com
Russian Federation, Tver
A. S. Al-Fakih
Tver State Technical University
Email: Susan.Goode@springer.com
Russian Federation, Tver
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