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The study aims to establish a diagnostic model of hypertrophic cardiomyopathy with artificial intelligence-enhanced electrocardiogram.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| HCM group | Patients diagnosed with HCM | ||
| Control group | Subjects without HCM |
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| Measure | Description | Time Frame |
|---|---|---|
| Diagnosis of HCM with AI-ECG | First a diagnosis of HCM is made as the standard outcome according to 1) an International Classification of Diseases (ICD) code for HCM (ICD-9425.1, 425.11, 425.18, and ICD10 I42.1, I42.2); 2) reports from the echocardiographers. An AI-ECG algorithm will be used to make a diagnosis of HCM and compared with the standard outcome. The performance of the AI-ECG algorithm will be evaluated with metrics including AU-ROC, specificity, sensitivity and F1 value. | 1 year within the time frame of ECG data collection |
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Inclusion Criteria:
Exclusion Criteria:
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The study includes patients with HCM, and subjects without HCM as control.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yixiu Liang, MD | Contact | +8613764653847 | liang.yixiu@zs-hospital.sh.cn |
| Name | Affiliation | Role |
|---|---|---|
| Yixiu Liang, MD | Fudan University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| 180 Fenglin Road | Recruiting | Shanghai | 200032 | China |
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| ID | Term |
|---|---|
| D002312 | Cardiomyopathy, Hypertrophic |
| ID | Term |
|---|---|
| D009202 | Cardiomyopathies |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D001020 | Aortic Stenosis, Subvalvular |
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| D001024 |
| Aortic Valve Stenosis |
| D000082862 | Aortic Valve Disease |
| D006349 | Heart Valve Diseases |