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Study identifier: NCT05825014 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

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

Condition: COPD Exacerbation  ·  Sponsor: Chinese University of Hong Kong

PhaseN/A
Planned participants100000
Who can joinAll sexes, 40 Years to no upper limit
Healthy volunteersNo

About this study

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

This description comes directly from the study's public registry record.

Talk to the study team

Fanny Ko, MD  ·  35053133  ·  fannyko@cuhk.edu.hk

Always discuss trial participation with your own doctor first.

Locations (1)

The Chinese University of Hong KongHong Kong, New Territories, Hong KongRecruiting

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Source record: clinicaltrials.gov/study/NCT05825014