Neural Control System for Continuous Glucose Monitoring and Maintenance

Azmine Toushik Wasi
2/21/2024
cs.LGcs.AIcs.NE

Official code: azminewasi/NeuralCGMM (0 stars, MIT, last commit 2024-06-07).

Abstract

Precise glucose level monitoring is critical for people with diabetes to avoid serious complications. While there are several methods for continuous glucose level monitoring, research on maintenance devices is limited. To mitigate the gap, we provide a novel neural control system for continuous glucose monitoring and management that uses differential predictive control. Our approach, led by a sophisticated neural policy and differentiable modeling, constantly adjusts insulin supply in real-time, thereby improving glucose level optimization in the body. This end-to-end method maximizes efficiency, providing personalized care and improved health outcomes, as confirmed by empirical evidence. Code and data are available at: \url{https://github.com/azminewasi/NeuralCGMM}.

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Code Implementations(1)

azminewasi/NeuralCGMMOfficial100%
MIT

Code of ICLR'24 paper NeuralCGMM: Neural Control System for Continuous Glucose Monitoring and Maintenance

00PythonJun 7, 20242 years agoMIT
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Cite this paper

@article{wasi2024neural,
  title  = {Neural Control System for Continuous Glucose Monitoring and Maintenance},
  author = {Azmine Toushik Wasi},
  year   = {2024},
  eprint = {2402.13852},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.13852v3}
}

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