People with diabetes have to manage their blood glucose level to keep it within an appropriate range. Predicting whether future glucose values will be outside the healthy threshold is of vital importance in order to take corrective actions to avoid potential health damage. In this paper we describe our research with the aim of predicting the future behavior of blood glucose levels, so that hypoglycemic events may be anticipated. The approach of this work is the application of transformation functions on glucose time series, and their use in convolutional neural networks. We have tested our proposed method using real data from 4 different diabetes patients with promising results.

翻译：糖尿病患者需管理其血糖水平，使其维持在适当范围内。预测未来血糖值是否会超出健康阈值，对于采取纠正措施、避免潜在健康损害至关重要。本文旨在通过预测血糖水平的未来趋势，从而提前预警低血糖事件。本研究采用的方法是对血糖时间序列应用变换函数，并将其用于卷积神经网络。我们使用4位不同糖尿病患者的真实数据对所提方法进行了测试，结果令人满意。