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NCT06434623

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

Sponsor: Shanghai Zhongshan Hospital

View on ClinicalTrials.gov

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

OTHER

patient record

using patient record to construct AI models