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Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population
Conclusion: Predictive modelling has identified a simple yet powerful machine learning prediction strategy based on a single clinical test, the Trail test.
Varying-coefficient models with isotropic Gaussian process priors
We study learning problems in which the conditional distribution of the output given the input varies as a function of additional task variables.
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