Development of a comprehensive model for chronic obstructive pulmonary disease (COPD) prediction at an early stage

慢性阻塞性肺疾病（COPD）是一个主要的全球性健康问题，死亡率高，有效的治疗方法很少。为了减轻这一负担，我将量化现有和新发现的COPD风险因素，并将其整合到一个综合风险预测模型中。通过将这些知识转化为基于网络的工具，我将在初级保健环境中进行评估，在早期阶段识别高危个体提供了一种改善COPD结局的创新策略。

Chronic obstructive pulmonary disease (COPD) is a major global health problem with high mortality and few effective treatments. To reduce this burden, I will quantify existing and newly identified COPD risk factors, and integrate them into a comprehensive risk prediction model. By converting this knowledge into a web-based tool that I will evaluate in primary care settings, identifying at-risk individuals at an early stage offers an innovative strategy to improve COPD outcomes.