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A study on building a fall risk prediction model for inpatients based on clinical big data

A study on building a fall risk prediction model for inpatients based on clinical big data

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400083175
Enrollment
Unknown
Registered
2024-04-17
Start date
2022-07-06
Completion date
Unknown
Last updated
2024-04-22

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

Conditions

fall

Interventions

Fall group:None (observational study, no intervention)
Un-fall group:None (observational study, no intervention)

Sponsors

The First Affiliated Hospital of Chongqing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: (1) Hospital: Grade III, Class A, scale of 1000 beds and above; (2) Inpatients: ? =18 years old; ? The medical records are complete and accurate.

Exclusion criteria

Exclusion criteria: (1) Military hospitals, specialized hospitals, hospitals of integrated Chinese and Western medicine; (2) Patients with incomplete medical records or missing relevant information during hospitalization.

Design outcomes

Primary

MeasureTime frame
accuracy;—

Secondary

MeasureTime frame
Precision;F1 score;—

Countries

China

Contacts

Public ContactDing Fu

The First Affiliated Hospital of Chongqing Medical University

201598@hospital.cqmu.edu.cn+86 139 8398 5218

Outcome results

None listed

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