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Massive health data mining aims to predict disease before it strikes
NCT ID NCT07375303
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This observational study is analyzing health records from 380,000 people to uncover how people move between healthy, sub-healthy, and disease states over time. Using dynamic system theory and data mining, researchers hope to build models that can predict future disease risk years in advance. The goal is to provide scientific evidence for personalized prevention and better health management.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to personalized health predictions and early warnings for disease, helping people take preventive steps.
- What could go wrong
- This is an observational study, not a treatment trial. It may not produce clear or actionable results, and findings might not apply to other populations.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 380,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Sep 2025
- Expected to finish
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Aug 2030
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Health Data Science Database of Beijing Friendship Hospital
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Participants must have completed at least two consecutive physical examinations at the Physical Examination Center of Beijing Friendship Hospital, Capital Medical University, between June 2007 and August 2025, with a minimum interval of 6 months between adjacent records. * Data records should be relatively complete, with missing rates for key research variables (e.g., core biochemical indicators, demographic information, and essential questionnaire items) ≤30%. * Participants must have no prior history of severe organic diseases prior to their first study inclusion (as documented in medical records, primarily including: malignant tumors (non-curable/end-stage), severe cardiac insufficiency (NYHA Class III-IV), end-stage renal disease (CKD Stage 5), decompensated cirrhosis, or significant functional impairment caused by sequelae of severe cerebrovascular disease). Exclusion Criteria: \- Individuals with a severe lack of basic data (such as unique identification, key demographic information, and core indicators of detection) or who cannot be effectively anonymized.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Beijing Friendship Hospital, Capital Medical University
Beijing, Beijing Municipality, 100050, China