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USE OF FUZZY LOGIC IN PREDICTING USER BEHAVIOR AFFECTING BLOOD GLUCOSE CONCENTRATION IN A CLOSED LOOP CONTROL SYSTEM OF AN AUTOMATED INSULIN DELIVERY DEVICE
USE OF FUZZY LOGIC IN PREDICTING USER BEHAVIOR AFFECTING BLOOD GLUCOSE CONCENTRATION IN A CLOSED LOOP CONTROL SYSTEM OF AN AUTOMATED INSULIN DELIVERY DEVICE
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机译:模糊逻辑预测影响自动胰岛素输送装置闭环控制系统中血糖浓度的用户行为
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摘要
In an automated insulin delivery device, fuzzy logic may be applied to the responding to the possibility of a user taking additional action that may affect the blood glucose concentration. Fuzzy sets may be defined for empirically derived different likelihoods of the user taking such additional action based on correlated factors. A membership function may be provided for each fuzzy set. The membership function may provide a probability of membership in the set based on a parameter. Each fuzzy set may have a response that is reflective of the likelihood of additional user action associated with the fuzzy set. The responses by the AID device to each of these cases may reflect the probability of each such case occurring as evidenced by empirical data.
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