NCT06434623尚未招募不适用
A Multicenter Federal Learning Algorithm to Build an Intelligent Insulin Decision System for Dynamic Glucose Control in Type 2 Diabetic Patients
Shanghai Zhongshan Hospital0 个研究点目标入组 30,100 人开始时间: 2024年9月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 30,100
- 主要终点
- the accuracy of AI models
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Other
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •type 2 diabetes inpatients receiving insulin therapy
排除标准
- •use of insulin pumps or glucocorticoids during hospitalisation
- •less than two days of insulin therapy
结局指标
主要结局
the accuracy of AI models
时间窗: up to 2 years
次要结局
未报告次要终点
研究者
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