从信息学的角度分析中医临床个体化诊疗信息多维与多阶、多态与多粒度和缺失、折叠与混杂的特征,归纳了应用数据挖掘技术开展中医药临床个体诊疗规律研究的主题应包括疾病变化规律及其影响因素、证候特征与诊断规范化、中医临床诊疗经验总结、药物/疗法有效性和安全性评价与治疗方案的优化和卫生经济学等方面,旨在进一步开启多学科、多视角进行中医临床研究的思路,促进数据挖掘和中医临床领域专家对相关问题的深入研究。

This article analyzes from the angle of information science the characteristics of multi - dimension and multi - stage, the polymorphism and multi - size as well as the lack and loss, the folding and the mixture of information from individualized diagnosis in the clinical treatment of traditional Chinese medicine, and indicates that in the study of the rules for individualized diagnosis in TCM by data - digging technology the subjects of the study should include the changing laws of diseases and their influential factors, the characteristics of symptoms and the normalization of diagnosis, the summing - up of experience in clinical treatment, the assessment of the effectiveness and safety of drugs/therapies, the optimization of therapeutic schedules, the hygienic economics , etc. with the aim of further opening ideas for the study of clinics in TCM at the level of multi - disciplines and from many viewpoints and promoting experts in the fields of data digging and clinics in TCM to engage in deep studies of relevant problems.

北京市重大科技计划项目(H020920010130)