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RECRUITING
NCT05825014

Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong

Sponsor: Chinese University of Hong Kong

View on ClinicalTrials.gov

Summary

This study aims to develop predictive models for patients with a diagnosis of COPD at discharge of an index admission on these outcomes using machine learning: Primary outcome: Early admission Secondary outcomes: 1. Frequent readmission 2. Composite outcome (Early + Frequent readmissions) 3. Mortality 4. Longstayers

Key Details

Gender

All

Age Range

40 Years - Any

Study Type

OBSERVATIONAL

Enrollment

100000

Start Date

2023-08-29

Completion Date

2028-04-30

Last Updated

2026-03-18

Healthy Volunteers

No

Interventions

OTHER

No intervention

No intervention

Locations (1)

The Chinese University of Hong Kong

Hong Kong, New Territories, Hong Kong