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Research for Development of Artificial Intelligence-enhanced Electrocardiogram of Prediction for Mortality and Cardiovascular Outcomes using combination system of the National Health Insurance Service Database

Research for Development of Artificial Intelligence-enhanced Electrocardiogram of Prediction for Mortality and Cardiovascular Outcomes using combination system of the National Health Insurance Service Database

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0011012
Enrollment
800000
Registered
2025-09-11
Start date
2022-11-15
Completion date
Unknown
Last updated
2025-09-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Inha University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients diagnosed with cardiac fibrillation since 2009 when extractable electrocardiogram was recorded as a text file

Exclusion criteria

Exclusion criteria: The above study is a data collection study using electrocardiogram, and there are no criteria for exclusion other than patients who are unsuitable as subjects by the judgment of the researcher.

Design outcomes

Primary

MeasureTime frame
atrial fibrillation—

Secondary

MeasureTime frame
stroke;heart failure;Hospitalization—

Countries

Korea, Republic of

Contacts

Public Contacthyerim park

Inha University Hospital

rimvely1126@naver.com+82-32-890-2555

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026