Prediction of the Risk of Osteoporotic Fractures Using Bayesian Belief Networks
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 approa...
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| Veröffentlicht in: | Biomedical engineering 2017-05, Vol.51 (1), p.24-27 |
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| container_end_page | 27 |
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| container_title | Biomedical engineering |
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| creator | Dmitriev, G. A. Vetrov, A. N. Al-Fakih, A. S. |
| description | 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. |
| doi_str_mv | 10.1007/s10527-017-9677-8 |
| format | Article |
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| issn | 0006-3398 1573-8256 |
| language | eng |
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| source | SpringerLink Journals |
| subjects | Bayesian analysis Belief networks Biocompatibility Biomaterials Biomedical Engineering and Bioengineering Engineering Fractures Fractures (Injuries) Hormone replacement therapy Osteoporosis Risk factors Risk groups |
| title | Prediction of the Risk of Osteoporotic Fractures Using Bayesian Belief Networks |
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