recurrent neural network device and system for predicting blood glucose level

Provided are a recurrent neural network (RNN) device and system that predicts blood glucose level. The RNN device includes a first long short-term memory (LSTM) network and a second LSTM network. Thefirst LSTM network may include an input to receive near-infrared (NIR) radiation data and includes an output. The second LSTM network may include an input to receive the output of the first LSTM network and an output to output blood glucose level data based on the NIR radiation data input to the first LSTM network. 提供了一种用于预测血糖水平的循环神经网络装置和系统。所述循环神经网络装置包括第一长短期记忆(LSTM)网络和第二LSTM网络。第一LSTM网络可包括用于接收近红外(NIR)辐射数据的输入以及输出。第二LSTM网络可包括用于接收第一LSTM网络的输出的输入以及用于基于输入到第一LSTM网络的NIR辐射数据来输出血糖水平数据的输出。