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Insulin titration algorithm based on patient profile

机译:基于患者特征的胰岛素滴定算法

摘要

Devices, systems and methods for predicting the risk of hypoglycemia and adjusting insulin drug dose size are provided for subjects receiving frequent pen injections. A first algorithm is provided to calculate a first insulin dose size based on blood glucose (BG) measurements and insulin injection dose size with multiple time stamps. The risk prediction module is adapted to predict a risk of hypoglycemia based on a time-stamped blood glucose measurement based on a machine learning algorithm and calculate a second insulin dose size resulting in a non-hypoglycemic condition. ing. If the second dose size is lower than the first dose size, the first dose size is automatically lowered to the second dose size and adjusted, and the subject is contacted as the recommended dose size. [Selection diagram] Figure 1
机译:为频繁接受笔注射的受试者提供了预测低血糖风险和调整胰岛素药物剂量大小的装置,系统和方法。提供第一算法以基于血糖(BG)测量和具有多个时间戳的胰岛素注射剂量大小来计算第一胰岛素剂量大小。风险预测模块适于基于基于机器学习算法的时间戳血糖测量来预测低血糖的风险,并计算导致非降血糖状况的第二胰岛素剂量大小。 ing。如果第二剂量大小小于第一剂量大小,则第一剂量大小会自动降低至第二剂量大小并进行调整,然后将受试者作为推荐剂量大小进行接触。 [选型图]图1

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