کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

Tracking Blood Glucose Concentration of Type 1 Diabetic Patients Using Reinforcement Learning

نویسندگان :

Peyman Vafadoost Sabzevar¹ Hamid Sadrian² Ahmad Hajipour³

1- دانشگاه حکیم سبزواری 2- دانشگاه حکیم سبزواری 3- دانشگاه حکیم سبزواری

کلمات کلیدی :

Reinforcement Learning،Type 1 Diabetes،Q-Learning،Blood Glucose Control،Optimal Insulin Injection

چکیده :

Blood glucose control in diabetic patients has become one of the main concerns of researchers due to its widespread growth in society in recent years. Also, in the COVID-19 epidemic, evidence has shown that people with diabetes are at greater risk of contracting COVID-19 and its increasing complications, which lead to more deaths than other people due to a weak immune system. Therefore, the desired controller for blood glucose regulation should be very stable against hypoglycemia and perturbations such as meals, noise, and uncertainty, such as the pancreas of a healthy person. The metabolic disorders that cause diabetes in people are covered first in this article. Then Reinforcement Learning will be introduced as one of the machine learning methods to control the blood glucose concentration, and its robustness in the presence of disturbance will be investigated.

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بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.3.2