Diabetes patient blood glucose management method and system based on reinforcement learning, medium and terminal

• Main Authors: WANG CONGRONG, LI JIANGFENG, ZHAO QINPEI, ZHU JINHAO, WANG YUE, SHI YIQI, RAO WEIXIONG
• Format: Patent
• Language: Chinese; English
• Published: 04.06.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention provides a diabetes patient blood glucose management method and system based on reinforcement learning, a medium and a terminal. The method comprises the following steps: training a decision network model based on a reinforcement learning algorithm to obtain a trained decision network model; acquiring current state information of a diabetes patient; and sending the current state information to the trained decision network model, so that the trained decision network model determines the insulin injection amount corresponding to the diabetes patient at the next future moment based on the current state information, and blood glucose management of the diabetic patient is achieved. According to the method, the decision network model is trained by a reinforcement learning algorithm based on historical blood sugar data and future carbohydrate intake of the diabetes patient, so that the relationship between carbohydrate and blood sugar change is utilized from historical information of the diabetes patie