Ignite Creation Date:
2024-06-16 @ 11:50 AM
Last Modification Date:
2024-10-26 @ 3:31 PM
Study NCT ID:
NCT06443697
Status:
COMPLETED
Last Update Posted:
2024-06-05
First Post:
2024-05-30
Brief Title:
A Machine Learning Prediction Model for Delayed CIPONV
Sponsor:
Organization:
Sixth Affiliated Hospital Sun Yat-sen University
Study Design
Study Type:
OBSERVATIONAL
Expanded Access Type Individual:
None
Expanded Access Type Intermediate:
None
Expanded Access Type Treatment:
None
Patient Registry:
False
Target Duration:
None
Design Allocation:
Design Intervention Model:
Design Intervention Model Description:
Design Masking Description:
Bio Spec Retention:
None
Bio Spec Description:
None
Enrollment Count:
1154
Enrollment Type:
ESTIMATED
Design Primary Purpose:
Design Masking:
Phases:
Observational Models:
| Name |
|---|
| Cohort |
Time Perspective List:
Clinical Trial Statuses
| Name |
|---|
| 107561 |
Who Masked List: