Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong
ConditionCOPD Exacerbation
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age40+
SponsorChinese University of Hong Kong
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
Eligibility criteria
Qualifiers
≥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
Disqualifiers
Admission diagnosis due to causes other than COPD
Trial design
Treatments tested in this trial
- No intervention
Treatment groups
No treatment groups listed
Sponsors and collaborators
Source ClinicalTrials.gov