Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction

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作者
Md Fazle Rabby
Yazhou Tu
Md Imran Hossen
Insup Lee
Anthony S. Maida
Xiali Hei
机构
[1] The University of Louisiana at Lafayette,School of Computing and Informatics
[2] University of Pennsylvania,Department of Computer and Information Science
关键词
Blood glucose level prediction; Recurrent neural network; Stacked long short-term memory; Sensor fault correction; Kalman smoothing;
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