病证结合慢性疾病嵌套风险预测模型的构建与应用  

Construction and application on chronic disease risk nested prediction model of combining disease with syndrome

作　　者：江爱娟[1] 申国明[1] 尤良震 林逸轩 赵进东[1] 方朝晖[1] JIANG Ai-juan;SHEN Guo-ming;YOU Liang-zhen;LIN Yi-xuan;ZHAO Jin-dong;FANG Zhao-hui(Anhui University of Chinese Medicine,Hefei 230012,China;Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700,China)

机构地区：[1]安徽中医药大学,合肥230012 [2]北京中医药大学东直门医院,北京100700

出　　处：《中华中医药杂志》2022年第8期4546-4549,共4页China Journal of Traditional Chinese Medicine and Pharmacy

基　　金：国家自然科学基金项目(No.81874457);安徽省重点研究与开发计划项目(No.202104j07020006)。

摘　　要：目前的慢性疾病风险预测模型多以单一的现代医学指标或中医证候要素为危险因素。文章以糖尿病周围神经病变为例,提出“病证结合”模式慢性疾病预警预测与中医药干预研究新思路:构建由现代医学理化指标和中医证候学资料共同构成的核心指标体系,建立病证结合疾病预测和中医药干预循证队列嵌套模型,为开展社区慢性疾病风险评估、预警预测及精准健康管理提供智能化、信息化支持。So far,risk prediction models of chronic disease mostly use a single index of modern medical or traditional Chinese medicine(TCM) syndrome elements as risk factors.The diabetic peripheral neuropathy as an example was used in this paper,and a new idea of combining disease with syndrome pattern of chronic disease early warning and prediction and TCM intervention research were proposed:A core index system was constructed,which was composed of modern medical physical and chemical indicators and TCM syndrome data.A nested model,which were combining disease with syndrome disease prediction model and evidence-based cohort model for TCM intervention,was established,so as to provide intelligent and information support for the development of community chronic disease risk assessment,early warning prediction and precise health management.

关 键 词：慢性疾病 糖尿病周围神经病变 机器学习 病证结合 预测模型 证候 健康管理 

分 类 号：R259[医药卫生—中西医结合]