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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
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.
Key Details
Gender
All
Age Range
18 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
840
Start Date
2023-12-01
Completion Date
2026-06-01
Last Updated
2025-05-31
Healthy Volunteers
Yes
Locations (1)
Affiliated Hospital of Guizhou Medical University
Guiyang, Guizhou, China