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Construction and application of a fall risk prediction model for hospitalized patients with hematological tumors based on machine learning algorithms

Construction and application of a fall risk prediction model for hospitalized patients with hematological tumors based on machine learning algorithms

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115138
Enrollment
Unknown
Registered
2025-12-23
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Construction of a risk prediction model for falls in hospitalized patients with hematological malignancies

Interventions

Observation group:None

Sponsors

The FIrst Affiliated Hospital, College of Medicine, Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Hospitalized patients over 18 years old; 2. Patients diagnosed with acute/chronic leukemia, lymphoma, multiple myeloma or myelodysplastic syndrome, and who have the ability to walk independently;

Exclusion criteria

Exclusion criteria: Refuse collaborators; individuals with consciousness or cognitive impairments who cannot communicate effectively; patients in terminal stages who are bedridden; special fall situations: patients who fall due to external accidental factors unrelated to the malignant hematologic disease or related treatments. Excluding these cases can make the study results better reflect the relationship between the disease, treatment, and fall risk.

Design outcomes

Primary

MeasureTime frame
The incidence of falls;—

Countries

China

Contacts

Public ContactWen Yanling

The FIrst Affiliated Hospital, College of Medicine, Zhejiang University

20375064@qq.com+86 571 8723 5131

Outcome results

None listed

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