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Federal Learning Algorithm for an Intelligent Insulin Decision System for Dynamic Glucose Control in Type 2 Diabetic Patients
Sponsor: Shanghai Zhongshan Hospital
Summary
Constructing an intelligent insulin decision-making system for dynamic glucose control in type 2 diabetes mellitus via a multicentre federated learning algorithm, comparing the performance of the federated learning model, the local model and the initial model, and evaluating their feasibility and safety.
Official title: A Multicenter Federal Learning Algorithm to Build an Intelligent Insulin Decision System for Dynamic Glucose Control in Type 2 Diabetic Patients
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
30100
Start Date
2024-09-01
Completion Date
2026-06-30
Last Updated
2024-07-16
Healthy Volunteers
No
Conditions
Interventions
patient record
using patient record to construct AI models