Prediction of the Risk of Osteoporotic Fractures Using Bayesian Belief Networks
- 作者: Dmitriev G.A.1, Vetrov A.N.1, Al-Fakih A.S.1
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隶属关系:
- Tver State Technical University
- 期: 卷 51, 编号 1 (2017)
- 页面: 24-27
- 栏目: 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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详细
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.
作者简介
G. Dmitriev
Tver State Technical University
Email: Susan.Goode@springer.com
俄罗斯联邦, Tver
A. Vetrov
Tver State Technical University
Email: Susan.Goode@springer.com
俄罗斯联邦, Tver
A. Al-Fakih
Tver State Technical University
Email: Susan.Goode@springer.com
俄罗斯联邦, Tver
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