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Federal Learning Algorithm for an Intelligent Insulin Decision System for Dynamic Glucose Control in Type 2 Diabetic Patients

Diabetes Clinical Trial

Official title:
A Multicenter Federal Learning Algorithm to Build an Intelligent Insulin Decision System for Dynamic Glucose Control in Type 2 Diabetic Patients

Clinical Trial 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.

Clinical Trial Description

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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06434623
Study type Observational
Source Shanghai Zhongshan Hospital
Contact Xiaoying Li, PhD.
Phone 02164041990
Email li.xiaoying@zs-hospital.sh.cn
Status Not yet recruiting
Phase
Start date June 1, 2024
Completion date June 30, 2026
View Details
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