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Development of an early risk prediction model for acute coronary syndrome based on natural language processing

Development of an early risk prediction model for acute coronary syndrome based on natural language processing

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114009
Enrollment
Unknown
Registered
2025-12-05
Start date
2025-12-15
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Acute Coronary Syndrome(ACS)

Interventions

Observation group:none

Sponsors

The First Affiliated Hospital of Anhui University of Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1 Age >= 18 years; 2 First-time diagnosis of Acute Coronary Syndrome (ACS), with the diagnosis established according to the criteria defined by the Chinese Society of Cardiology of the Chinese Medical Association.

Exclusion criteria

Exclusion criteria: 1 Patients with advanced malignant tumors in organs such as the liver, kidney, or lungs; 2 Patients with inflammatory diseases due to acute infection or shock caused by severe trauma; 3 Patients with severe mental illness.

Design outcomes

Primary

MeasureTime frame
Patient baseline information;medical admission records;comorbidities and associated factors;—

Countries

China

Contacts

Public ContactDing Yufang

The First Affiliated Hospital of Anhui University of Chinese Medicine

249684469@qq.com+86 186 5518 8739

Outcome results

None listed

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