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A Model-free Approach to Automatic Dose Guidance in Long Acting Insulin Treatment of Type 2 Diabetes

机译:一种无模型方法来实现2型糖尿病的长效胰岛素治疗中的自动剂量指导

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This paper presents a model-free insulin titration algorithm for patients with type 2 diabetes that automatically finds and maintains the optimal insulin dosage in order to maintain the blood glucose concentration at desired levels. The proposed method is based on recursive least square based extremum seeking control. Since the proposed method does not require a detailed model, it can be applied on a wide population of patients without the need to identify and adapt models to the patient data. We demonstrate the effectiveness of the proposed method using in silico simulations, which are benchmarked against two standard-of-care approaches. We also show that the proposed method can handle intra-patient metabolic variations and non-adherence to the treatment regimen. Finally, using a population of 50 virtual patients, we show that the proposed method is able to handle inter-patient variations.
机译:本文介绍了一种自动发现和维持最佳胰岛素剂量的2型糖尿病患者的无模型胰岛素滴定算法,以保持所需水平的血糖浓度。 所提出的方法基于基于递归最小二乘的极值寻求控制。 由于所提出的方法不需要详细的模型,因此可以应用于广泛的患者群体,而无需识别和调整患者数据的模型。 我们证明了所提出的方法在硅模拟中使用的有效性,这些方法与两个护理标准方法有基准。 我们还表明,该方法可以处理患有患者内的代谢变化和非粘附到治疗方案。 最后,使用50例虚拟患者的人群,我们表明所提出的方法能够处理患者间变化。

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