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

Fudan University

Status: Not yet enrolling

Conditions: Diabetes

Treatments: Other: patient record

Study type: Observational

Funder types: Other

Identifiers

NCT06434623

20240324025304420

Details and patient eligibility

About

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.

Full 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.

Enrollment: 30,100 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• type 2 diabetes inpatients receiving insulin therapy

Exclusion criteria

• use of insulin pumps or glucocorticoids during hospitalisation
• less than two days of insulin therapy

Trial design

30,100 participants in 1 patient group

patients record

Treatment:

Other: patient record