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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| patients record |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| patient record | Other | using patient record to construct AI models |
|
| Measure | Description | Time Frame |
|---|---|---|
| the accuracy of AI models | up to 2 years |
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Inclusion Criteria:
Exclusion Criteria:
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type 2 diabetes who
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xiaoying Li, PhD. | Contact | 02164041990 | li.xiaoying@zs-hospital.sh.cn | |
| Ying Chen | Contact | 13482 | chen.ying4@zs-hospital.sh.cn |
| Name | Affiliation | Role |
|---|---|---|
| Xiaoying Li, Professor | Fudan University | Study Director |
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| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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| ID | Term |
|---|---|
| D008499 | Medical Records |
| ID | Term |
|---|---|
| D011996 | Records |
| D003625 | Data Collection |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
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| D009934 |
| Organization and Administration |
| D006298 | Health Services Administration |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |