Viewing Study NCT06434623



Ignite Creation Date: 2024-06-16 @ 11:49 AM
Last Modification Date: 2024-10-26 @ 3:30 PM
Study NCT ID: NCT06434623
Status: NOT_YET_RECRUITING
Last Update Posted: 2024-05-30
First Post: 2024-05-23

Brief Title: Federal Learning Algorithm for an Intelligent Insulin Decision System for Dynamic Glucose Control in Type 2 Diabetic Patients
Sponsor: Shanghai Zhongshan Hospital
Organization: Shanghai Zhongshan Hospital

Study Overview

Official Title: A Multicenter Federal Learning Algorithm to Build an Intelligent Insulin Decision System for Dynamic Glucose Control in Type 2 Diabetic Patients
Status: NOT_YET_RECRUITING
Status Verified Date: 2024-05
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief 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
Detailed 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 Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: True
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None