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Clinical text parsing based on large language model and inference of DTV risk score in neurosurgery inpatients

Clinical text parsing based on large language model and inference of DTV risk score in neurosurgery inpatients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100660
Enrollment
Unknown
Registered
2025-04-14
Start date
2025-04-14
Completion date
Unknown
Last updated
2025-04-21

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

Conditions

Deep venous thrombosis

Interventions

Investigation group:NA

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. The patient is over 18 years old; 2. Neurosurgery hospitalization and surgical intervention.

Exclusion criteria

Exclusion criteria: The patient data were incomplete, and the DVT risk scale could not be evaluated

Design outcomes

Primary

MeasureTime frame
Accuracy;mean absolute error MAE;F1 score;—

Countries

China

Contacts

Public ContactYanhui Liu

Department of Neurosurgery, West China Hospital, Sichuan University

liuyh@scu.edu.cn+86 189 8060 1509

Outcome results

None listed

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