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Machine Learning for Closed-Loop APS by 21349ec045 is a document available to read on EtoBox.
What is Machine Learning for Closed-Loop APS about?
This document presents a Machine Learning-based Artificial Pancreas System (APS) designed to automate blood glucose regulation for Type 1 Diabetes patients using the AZT1D dataset and a virtual patient simulation environment. The system employs a Random Forest Regression model to predict insulin dosage, achieving a Mean Absolute Error of 0.240 and an R2 score of 0.94, demonstrating effective glucose control. The research emphasizes the importance of rigorous validation and aims to minimize patient burden an
- Author
- 21349ec045
- Language
- EN