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Construction and Community Promotion of a Precision Identification and Intervention Model for High-Risk Chronic Disease Populations Based on Explainable Artificial Intelligence (XAI)

Construction and Community Promotion of a Precision Identification and Intervention Model for High-Risk Chronic Disease Populations Based on Explainable Artificial Intelligence (XAI)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600125931
Enrollment
Unknown
Registered
2026-06-01
Start date
2026-06-01
Completion date
Unknown
Last updated
2026-06-08

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

Conditions

Hypertension ,Diabetes Mellitus , Chronic Diseases(Non-communicable Diseases), Multimorbidity

Interventions

Observation group:None

Sponsors

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age =18 years old; 2. It has complete baseline demographic, vital signs and laboratory test data; 3. Have at least one follow-up record (for outcome assessment)

Exclusion criteria

Exclusion criteria: 1.The rate of missing key data is over 30%. 2. Pregnant women; 3. Patients with malignant tumors whose expected survival time is less than one year

Design outcomes

Primary

MeasureTime frame
Blood pressure control status during follow-up;Changes in glucose and renal function indicators;Drug-related adverse events;—

Countries

China

Contacts

Public ContactJiang Jie

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

jj11472@rjh.com.cn+86 21 64370045

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 11, 2026