以医师个体知识图谱构建研究为主线，拟从“病-证-治-效”多个层面，探索研究辨证论治临床诊疗信息多尺度的关联关系，构建中医专家临床知识图谱模型，通过对比治疗有效、无效人群网络特征，发现中医师诊疗规律与特点，在人机结合优化中医临床诊疗方案的同时，也为快速提高中医师辨证论治水平提供指引，为名老中医经验传承与创新的可视化研究奠定方法学基础。本研究所涉及的中医临床诊疗大数据具有多尺度非完整性的特征，因此希望通过参加本次学术交流，就此类数据的分析处理与相关专家进行深入交流和探讨。

The study explores the multi-scale relationship of clinical diagnosis and treatment information based on "disease-syndrome-rule-effect", and constructs the clinical knowledge map model of TCM experts. By comparing the effective treatment, The characteristics of Chinese medicine practitioners 'diagnosis and treatment, the characteristics of Chinese medicine practitioners' diagnosis and treatment, and the optimization of TCM clinical treatment programs. It also provides guidelines for the rapid improvement of the level of diagnosis and treatment of traditional Chinese medicine practitioners, laying a methodology for the visualization of TCM experience transmission and innovation. basis. In this study, the large data of clinical diagnosis and treatment of TCM are characterized by multi-scale non-integrity. Therefore, we hope to participate in this academic exchange and discuss and analyze the data with the relevant experts in depth.

随着大数据在航空领域的发展，各大航空公司已经逐渐开始利用大数据进行商业分析，以提高市场竞争力。在此以两个方面为例介绍大数据在航空领域的应用。 首先，基于飞机运行时引擎产生的大量数据，借助大数据手段进行分析和优化，提高航空公司的飞行效率，预测零件故障，进而合理安排维修计划，在保障乘客安全的同时，提高运营效率。另一方面，航空公司利用乘客的出行数据，分析乘客偏好，优化飞行线路和服务，从而减少航空延误，提高客户满意度和公司收益。