首页|Studies from University of Michigan Provide New Data on Machine Learning (Shortc omings In the Evaluation of Blood Glucose Forecasting)
Studies from University of Michigan Provide New Data on Machine Learning (Shortc omings In the Evaluation of Blood Glucose Forecasting)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Ann Arbor, Michigan, by N ewsRx journalists, research stated, “Recent years have seen anincrease in machi ne learning (ML)-based blood glucose (BG) forecasting models, with a growing emphasis on potential application to hybrid or closed-loop predictive glucose contr ollers. However, currentapproaches focus on evaluating the accuracy of these mo dels using benchmark data generated under thebehavior policy, which may differ significantly from the data the model may encounter in a control setting.”
Ann ArborMichiganUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnivers ity of Michigan