首页>
外国专利>
DIABETES PREDICTION USING GLUCOSE MEASUREMENTS AND MACHINE LEARNING
DIABETES PREDICTION USING GLUCOSE MEASUREMENTS AND MACHINE LEARNING
展开▼
机译:使用葡萄糖测量和机器学习预测糖尿病预测
展开▼
页面导航
摘要
著录项
相似文献
摘要
Diabetes prediction using glucose measurements and machine learning is described. In one or more implementations, the observation analysis platform includes a machine learning model trained using historical glucose measurements and historical outcome data of a user population to predict a diabetes classification for an individual user. The historical glucose measurements of the user population may be provided by glucose monitoring devices worn by users of the user population, while the historical outcome data includes one or more diagnostic measurements obtained from sources independent of the glucose monitoring devices. Once trained, the machine learning model predicts a diabetes classification for a user based on glucose measurements collected by a wearable glucose monitoring device during an observation period spanning multiple days. The predicted diabetes classification may then be output, such as by generating one or more notifications or user interfaces based on the classification.
展开▼