Prediction of the Risk of Osteoporotic Fractures Using Bayesian Belief Networks


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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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