公开(公告)号：US20230089803A1

公开(公告)日：2023-03-23

申请号：US17734970

申请日：2022-05-02

申请人： TELADOC HEALTH, INC.

发明人： Douglas Yuk ,  Randy Buswell ,  Gene V. Kozin ,  Yongbo Wang ,  Frederick Barrigar

IPC分类号： B01L3/00 ,  G01K1/02 ,  G01K7/22 ,  C12Q1/26

摘要： System, method, and computer program product for improving the accuracy of blood glucose measurements in a blood glucose meter by compensating for thermal effects of the glucose meter hardware. A machine learning model is used to predict the reaction site temperature on a blood glucose test strip based on one or more temperature measurements and device status information. The model receives several inputs including at least one temperature measurement sensed near the reaction site as well as device usage and other factors that may influence the reaction site temperature. The model provides a predicted reaction site temperature to the glucometer software or firmware to be used in a blood glucose calculation.
1.