Data Mining of Population Health-sub-health-disease Based on Dynamic System Theory
NCT07375303 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 380000
Last updated 2026-01-29
Summary
This study aims to explore the dynamic evolution patterns of population health, sub-health, and disease states through dynamic system theory and big data mining methods, providing scientific evidence for personalized prevention and health management.
Conditions
- Sub-healthy
Interventions
- OTHER
-
No intervention will be applied.
This is an observational study.
Sponsors & Collaborators
-
Beijing Friendship Hospital
lead OTHER
Eligibility
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-09-01
- Primary Completion
- 2028-08-31
- Completion
- 2030-08-31
Countries
- China
Study Locations
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