Prediction of cardiovascular events in chronic obstructive pulmonary disease using a machine learning approach
Not Applicable
Recruiting
- Conditions
- Chronic obstructive pulmonary disease
- Registration Number
- JPRN-UMIN000048551
- Lead Sponsor
- Department of Respiratory Medicine and Infectious Disease, Yamaguchi University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 1700
Inclusion Criteria
Not provided
Exclusion Criteria
Patients with less than 180 days of follow-up in Sado-Himawari Network.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The accuracy of machine learning algorithm to predict CV events in COPD patients.
- Secondary Outcome Measures
Name Time Method Predictors of CV events identified using machine learning techniques.