Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong
Recruiting
Observational Study
COPD Exacerbation
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 40 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 100,000 (estimated)
- Sponsor
- Chinese University of Hong Kong · Other
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About This Trial
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
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
* ≥40 years
* Patients are discharged from 2016 -2022
* Discharge Diagnosis: Using the Discharge Diagnosis ICD Codes found in the Primary Diagnosis to determine if a patient has COPD
* Validated against Spirometry results (for patient with a spirometry reading):
Spirometry read…
Contacts