...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Expert Systems with Application >Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes
【24h】

Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes

机译：基于卡尔曼滤波器的1型糖尿病自适应基础胰岛素推荐系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Type 1 diabetes mellitus is a chronic disease that requires those affected to self-administer insulin to control their blood glucose level. However, the estimation of the correct insulin dosage is not easy due to the complexity of glucose metabolism, which usually leads to blood glucose levels far from the optimal. This paper presents an adaptive and personalised basal insulin recommender system based on Kalman filter theory that can be used with or without continuous glucose monitoring systems. The proposed approach is tested with the UVa/PADOVA simulator with eleven virtual adult subjects. It has been tested in combination with two different bolus calculators, and the performance achieved has been compared with that obtained with the default basal doses of the simulator, which can be assumed as optimal. The achieved results demonstrate that the proposed system rapidly converges to the optimal basal dose, and it can be used with adaptive bolus calculators without the risk of instability. (C) 2018 Elsevier Ltd. All rights reserved.
机译：1型糖尿病是一种慢性疾病，需要那些受到影响的人自行服用胰岛素来控制其血糖水平。然而，由于葡萄糖代谢的复杂性，估计正确的胰岛素剂量并不容易，这通常导致血糖水平远非最佳水平。本文提出了一种基于卡尔曼滤波理论的自适应个性化基础胰岛素推荐系统，可以在有或没有连续血糖监测系统的情况下使用。所提出的方法已通过UVa / PADOVA模拟器与11位虚拟成人受试者进行了测试。它已与两个不同的推注计算器结合进行了测试，并且已将所获得的性能与模拟器的默认基础剂量（假定为最佳）所获得的性能进行了比较。所获得的结果表明，所提出的系统可快速收敛至最佳基础剂量，并且可以与自适应推注计算器配合使用而不会产生不稳定的风险。 （C）2018 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号