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Assessing Fracture Risk using Gradient Boosting Machine (GBM) Models
Advanced bone imaging with quantitative computed tomography (QCT) has had limited success in significantly improving fracture prediction beyond standard areal bone mineral density (aBMD) measurements. Thus, we examined whether a machine learning paradigm, gradient boosting machine (GBM) modeling, wh...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3408850/ https://ncbi.nlm.nih.gov/pubmed/22367889 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jbmr.1577 |
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