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Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning
title_auth Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning
title_full Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning
title_fullStr Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning
title_full_unstemmed Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning
title_short Trustworthy Glucose Forecasting With Physiology-Constrained Neural Dynamics, Conformal Risk Control, and Risk-Sensitive Reinforcement Learning
title_sort trustworthy glucose forecasting with physiology-constrained neural dynamics, conformal risk control, and risk-sensitive reinforcement learning
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11428190