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This study aim to develope novel breath markers of gestational diabetes through a prospective high-risk population cohort study and achieve early prediction of gestational diabetes based on an interpretable machine learning model.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Gestational Diabetes Group | |||
| control group |
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| Measure | Description | Time Frame |
|---|---|---|
| Incidence of gestational diabetes mellitus | 24-28 weeks gestation |
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Eligibility Criteria
Exclusion Criteria:
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The population in this study include pregnant women aged 18-55 years and at 11-14 weeks gestation with at least one risk factor for GDM
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tianjin Central Hospital of Gynecology Obstetrics | Tianjin | China |
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| ID | Term |
|---|---|
| D016640 | Diabetes, Gestational |
| ID | Term |
|---|---|
| D011248 | Pregnancy Complications |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D003920 | Diabetes Mellitus |
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| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |