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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Insulin dosage optimization based on prediction of postprandial glucose excursions under uncertain parameters and food intake
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Insulin dosage optimization based on prediction of postprandial glucose excursions under uncertain parameters and food intake

机译：基于不确定参数和食物摄入量的餐后葡萄糖偏移预测的胰岛素剂量优化

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摘要

Considering the difficulty in selecting correct insulin doses and the problem of hyper- and hypoglycemia episodes in type 1 diabetes, dosage-aid systems are very useful for these patients. A model-based approach to this problem must unavoidably consider uncertainty sources such as large intra-patient variability and food intake. In the present study, postprandial glucose is predicted considering this uncertain information using modal interval analysis. This approach calculates a safer prediction of possible hyper- and hypoglycemia episodes induced by insulin therapy for an individual patient's parameters and integrates this information into a dosage-aid system. Predictions of a patient's postprandial glucose at 5-h intervals are used to predict the risk for a given therapy. Then the insulin dose and injection-to-meal time with the lowest risk are calculated. The method has been validated for three different scenarios corresponding to preprandial glucose values of 100, 180 and 250. mg/dl.
机译：考虑到在1型糖尿病中选择正确的胰岛素剂量的困难以及高血糖和低血糖发作的问题，剂量辅助系统对于这些患者非常有用。基于模型的方法必须不可避免地考虑不确定性来源，例如较大的患者内部差异和食物摄入。在本研究中，考虑到使用模态区间分析的不确定信息，可预测餐后血糖。这种方法针对个别患者的参数计算出胰岛素治疗可能引起的高血糖和低血糖发作的更安全预测，并将此信息整合到剂量辅助系统中。每隔5小时对患者餐后血糖的预测可用于预测给定治疗的风险。然后计算出风险最低的胰岛素剂量和进餐时间。该方法已针对与餐前血糖值分别为100、180和250 mg / dl的三种不同情况进行了验证。

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