数据挖掘在名老中医经验传承的应用现状与智能化趋势  

Application and Trend of Data Mining in Inheritance of Famous Traditional Chinese Medicine Experts′Experience

作　　者：陶竹 徐梓铭 郭艳[1] 李倩 TAO Zhu;XU Ziming;GUO Yan;LI Qian(General Department,Xiyuan Hospital,China Academy of Chinese Medical Sciences,Beijing 100091,China;Cardiovascular Department,Yulin Hospital of Traditional Chinese Medicine,Yulin 719099,China)

机构地区：[1]中国中医科学院西苑医院综合科,北京100091 [2]榆林市中医医院心血管科,榆林719099

出　　处：《世界中医药》2023年第13期1918-1922,1927,共6页World Chinese Medicine

基　　金：国家自然科学基金面上项目(81774138)。

摘　　要：现在,数据挖掘技术正朝着智能化的趋势快速发展,人工智能(AI)在西医学的广泛应用,尤其是AI分析方法在疾病早期诊断与评估、疾病的治疗策略与医疗资源管理这几个方面突出的使用效果,为AI与中医药的结合提供了有价值的参考,尤其在名老中医经验的学习与传承方面。近十余年来,名老中医经验学习与传承领域数据挖掘技术的研究成果颇多,在梳理常用数据挖掘工具与分析方法的基础上,结合AI分析方法在西医学的应用,可以对中医药领域数据挖掘的智能化学习发展方向进行预测与展望,为继承与发展名老中医经验提供更高效的途径,加快中医现代化研究。Data mining is rapidly developing towards intelligence.Artificial intelligence(AI)has been increasingly applied in Western medicine.The outstanding performance of AI methods in early diagnosis and assessment of diseases,disease treatment strategies,and medical resource management provides a valuable reference for the combination of AI and TCM,especially for the learning and inheritance of famous traditional Chinese medicine(TCM)experts′experience.In the last decade,abundant research achievements have been attained in the application of data mining in the learning and inheritance of famous TCM experts′experience.We summarized the commonly used data mining tools and methods,reviewed the application of AI methods in Western medicine,and then prospected the development directions of AI in the data mining of TCM,aiming to provide an efficient way to inherit and develop famous TCM experts′experience and accelerate the modern research of TCM.

关 键 词：数据挖掘 中医 名老中医 经验传承 西医 人工智能 综述 

分 类 号：R2-03[医药卫生—中医学] TP18[自动化与计算机技术—控制理论与控制工程]