AWD-stacking: An enhanced ensemble learning model for predicting glucose levels
HuaZhong Yang,
Zhongju Chen,
Jinfan Huang
et al.
Abstract:Accurate prediction of blood glucose levels is essential for type 1 diabetes optimizing insulin therapy and minimizing complications in patients with type 1 diabetes. Using ensemble learning algorithms is a promising approach. In this regard, this study proposes an improved stacking ensemble learning algorithm for predicting blood glucose level, in which three improved long short-term memory network models are used as the base model, and an improved nearest neighbor propagation clustering algorithm is adaptive… Show more
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