Status:
UNKNOWN
Artificial Intelligence-enabled Large-scale Electrocardiogram Feature Extraction and Exploring Association Between the Extracted Features and Mortality, Stroke or Various Health Outcome of Interest
Lead Sponsor:
Yonsei University
Conditions:
Health Status(Death, Stroke Etc)
Eligibility:
All Genders
Brief Summary
* In this study, large-scale ECG data (Electrocardiogram data of all patients stored in the MUSE system by measuring standard 12-guided ECG at Severance Health Checkup at Severance Hospital from Novem...
Detailed Description
* All patient IDs obtained from the main office are replaced by research IDs (de-identified IDs), so the actual ID is not exposed and other personal identification information (name, resident registra...
Eligibility Criteria
Inclusion
- Inclusion Criteria:
- All patients stored in the MUSE system after measuring a standard 12-guided electrocardiogram at Severance Health Checkup at Severance Hospital from November 1, 2005 to October 31, 2022
Exclusion
Key Trial Info
Start Date :
December 1 2023
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 1 2025
Estimated Enrollment :
3000000 Patients enrolled
Trial Details
Trial ID
NCT06179849
Start Date
December 1 2023
End Date
December 1 2025
Last Update
January 2 2024
Active Locations (1)
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1
Yonsei University Health System
Seoul, South Korea