温州医科大学附属第一医院2010年-2025年慢性阻塞性肺疾病专病数据集

该数据为温州医科大学附属第一医院在临床诊疗服务过程中产生，聚焦肺功能检查及影像学评估提示患有慢性阻塞性肺疾病的患者相关数据，经清洗处理与标准化标注后构建而成。数据涵盖患者肺功能关键指标、胸部CT报告、临床诊断信息、病情严重程度分级及合并症等核心内容，可直接用于慢性阻塞性肺疾病的智能辅助诊断模型训练、肺功能分析算法优化等场景，能支撑医疗AI产品研发、慢病管理工具迭代，助力提升COPD早期识别、风险分层与个体化干预的精准度与效率，同时为呼吸系统慢病相关医学研究提供高质量、合规的数据支撑。

This dataset is generated by the First Affiliated Hospital of Wenzhou Medical University during clinical diagnosis and treatment services, focusing on data from patients diagnosed with chronic obstructive pulmonary disease (COPD) via pulmonary function tests and imaging assessments, and is constructed after cleaning processing and standardized annotation. The dataset covers core contents including key pulmonary function indicators of patients, chest CT reports, clinical diagnosis information, disease severity grading and comorbidities. It can be directly applied to scenarios such as training intelligent auxiliary diagnosis models for COPD and optimizing pulmonary function analysis algorithms, supporting the R&D of medical AI products and the iteration of chronic disease management tools, helping to improve the accuracy and efficiency of COPD early identification, risk stratification and individualized intervention, while providing high-quality and compliant data support for medical research related to chronic respiratory diseases.

搜集汇总

背景与挑战

背景概述

该数据集包含温州医科大学附属第一医院2010-2025年间慢性阻塞性肺疾病患者的肺功能指标、胸部CT报告及临床诊断信息，适用于AI辅助诊断模型训练和呼吸系统疾病研究。