Randomized trial shows promise in predicting bone fracture risk using limited datasets, suggesting a new framework for medical applications.
The significance of this work is two-fold: the practical application allows for non-destructive prediction of bone fracture risk, while the novel methodology extends beyond the task considered in this study and provides a general framework for application of regression NNs to medical problems characterised by limited dataset sizes.
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Shaikhina et al. (2017) studied this question.
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