Evaluating the Risk of Postoperative Venous Thromboembolism in Cervical Cancer Patients
NCT06556953 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1174
Last updated 2024-08-16
Summary
The aim of this study is to develop a machine learning model to accurately predict the risk of venous thromboembolism in patients with cervical cancer after surgery.
Conditions
- Venous Thromboembolism
Sponsors & Collaborators
-
Haike Lei
lead OTHER
Eligibility
- Min Age
- 20 Years
- Max Age
- 89 Years
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-01-01
- Primary Completion
- 2023-12-31
- Completion
- 2023-12-31
Countries
- China
Study Locations
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