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.
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Establishment of prediction platform for COPD exacerbation
Timeframe: 3 years