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Regularization network-based glucose predictors using kernel parameters and regularization parameter, which is adaptively selected
Regularization network-based glucose predictors using kernel parameters and regularization parameter, which is adaptively selected
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机译:使用内核参数和正则化参数自适应地选择基于正则化网络的葡萄糖预测因子
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摘要
The invention relates to a method and a device for predicting a glycaemic profile of a subject. A multistage algorithm is employed comprising a prediction setting stage specifying a functional space for the prediction and a prediction execution stage specifying a predicted future glycaemic state of the subject in the functional space as a continuous function of time.
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