Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Construction and Validation of Active Case-Finding Tool in Community Participants with Chronic Obstructive Pulmonary Disease Using an Interpretable Machine Learning Approach
Saved in:
| Published in: | International Journal of Chronic Obstructive Pulmonary Disease |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Construction and Validation of Active Case-Finding Tool in Community Participants with Chronic Obstructive Pulmonary Disease Using an Interpretable Machine Learning Approach
- Computed Tomography–Based Evaluation of Airway Remodeling for Distinguishing Asthma–Chronic Obstructive Pulmonary Disease Overlap From Asthma and Chronic Obstructive Pulmonary Disease
- The Role of Microbiota Homeostasis in the Progression and Treatment of Chronic Obstructive Pulmonary Disease
- Chronic Obstructive Pulmonary Disease in Singapore: Current Perspectives on Prevalence, Disease Burden, and Treatment
- Critical Biological Functions and Clinical Implications of Epigenetic-Related Candidate Biomarkers in Chronic Obstructive Pulmonary Disease: Integrated Machine Learning Screening and Basic Experimental Validation
- Development and Psychometric Evaluation of a Pulmonary Rehabilitation Information Needs Scale for Patients with Chronic Obstructive Pulmonary Disease
- Risk Factors and Prediction of Chronic Obstructive Pulmonary Disease After Pulmonary Tuberculosis: A Prospective Cohort Study