Ignite Creation Date:
2024-10-25 @ 7:59 PM
Last Modification Date:
2024-10-26 @ 3:38 PM
Study NCT ID:
NCT06556953
Status:
COMPLETED
Last Update Posted:
None
First Post:
2024-08-06
Brief Title:
Evaluating the Risk of Postoperative Venous Thromboembolism in Cervical Cancer Patients
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Development and Validation of Machine Learning Models to Evaluate the Postoperative Venous Thromboembolism Risk of Cervical Cancer Patients in China
Status:
COMPLETED
Status Verified Date:
2024-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed Description:
Venous thromboembolism VTE is a common and life-threatening complication in patients with cervical cancer following surgery The objective of this study is to develop a machine learning model with the potential to predict the risk of VTE in these patients postoperatively We plan to employ partial dependence PD curves breakdown BD curves Ceteris-paribus CP and SHapley additive exPlanations SHAP values for a comprehensive analysis The goal is to explore how different machine learning algorithms can be utilized as tools for personalized postoperative VTE risk assessment in cervical cancer patients
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None