Ignite Creation Date:
2024-06-16 @ 11:48 AM
Last Modification Date:
2024-10-26 @ 3:30 PM
Study NCT ID:
NCT06427265
Status:
RECRUITING
Last Update Posted:
2024-06-27
First Post:
2024-05-19
Brief Title:
Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models a Research Protocol for Longitudinal Study
Sponsor:
The Affiliated Hospital Of Guizhou Medical University
Organization:
The Affiliated Hospital Of Guizhou Medical University
Study Overview
Official Title:
Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models a Research Protocol for Longitudinal Study
Status:
RECRUITING
Status Verified Date:
2024-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This project intends to track and evaluate whether post-ICU syndrome will occur 7 days 1 month 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study apply the latent category growth model to identify different trajectory patterns of post-ICU syndrome in critically ill patients and use modern machine learning models to build an early warning model of the trajectory patterns of post-ICU syndrome
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None