Establishment of Individualized Prediction System for Acute Exacerbation of Chronic Obstructive Pulmonary Disease Based on Cloud Platform
Establishment of Individualized Prediction System for Acute Exacerbation of Chronic Obstructive Pulmonary Disease Based on Cloud Platform
This is a 3-year longitudinal study designed to establish a personalized prediction and prevention system for acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Data will be prospectively collected from patients with chronic obstructive pulmonary disease (COPD) and healthy control participants, including clinical characteristics, pathophysiological parameters, etiological factors, and immunological information. These data will be analyzed using data mining approaches combined with Internet-based technologies.
Inclusion Criteria:
Patients was diagnosed as COPD according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines older than 40 years old.
Exclusion Criteria:
A COPD subject will not be eligible for inclusion in this study if any of the following criteria apply: