主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

北京中医药大学学报 ›› 2021, Vol. 44 ›› Issue (3): 221-225.doi: 10.3969/j.issn.1006-2157.2021.03.005

• 理论研究 • 上一篇    下一篇

基于中医证候量表探讨建立智能化中医药临床决策与疗效评价模式的设想*

陈智慧1, 张会永2, 裴宇鹏1, 杨关林3, 于莉2, 张哲3, 肖蕾2, 刘继东4#   

  1. 1 辽宁中医药大学辽宁省中医药科学院 辽宁 110847;
    2 辽宁中医药大学附属医院;
    3 辽宁中医药大学中医藏象理论及应用教育部重点实验室;
    4 辽宁中医药大学组织部
  • 收稿日期:2020-07-23 出版日期:2021-03-30 发布日期:2021-03-30
  • 通讯作者: #刘继东,男,博士,副教授,主要研究方向:针灸推拿学与中西医结合基础研究, E-mail:ljd0909@126.com
  • 作者简介:陈智慧,女,硕士,实验师
  • 基金资助:
    *国家自然科学基金项目(No.81603504,No.81603468),国家重点基础发展研究计划(973计划)项目(No.2014CB531704),辽宁省教育厅课题(No.L201943)

Discussion on establishing the intelligent TCM clinical decision-making and curative effect evaluation model based on the TCM pattern scale*

Chen Zhihui1, Zhang Huiyong2, Pei Yupeng1, Yang Guanlin3, Yu Li2, Zhang Zhe3, Xiao Lei2, Liu Jidong4#   

  1. 1 Liaoning Academy of Chinese Medical Sciences, Liaoning University of Traditional Chinese Medicine, Liaoning 110847, China;
    2 Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Liaoning 110032, China;
    3 Key Laboratory of Ministry of Education for TCM Visceral Manifestation Theory and Application, Liaoning University of Traditional Chinese Medicine, Liaoning 110847, China;
    4 Organization Department of Liaoning University of Traditional Chinese Medicine, Liaoning 110847, China
  • Received:2020-07-23 Online:2021-03-30 Published:2021-03-30
  • Contact: Associate Prof. Liu Jidong, Ph.D. Organization Department of Liaoning University of Traditional Chinese Medicine. No.79 Chongshan Road, Huanggu District, Shenyang 100847. Email:723583797@qq.com
  • Supported by:
    National Natural Science Foundation of China (No. 81603504, No. 81603468), National Basic Research Program of China (973 Program) (No. 2014CB531704), Project of Educational Department of Liaoning Province (No. L201943)

摘要: 中医证候量表日益成为中医证候转化为临床疗效评价指标的载体,但其仍然面临着标准化程度不够高、临床应用推广不够充分、“辨证-诊断-治疗-评价”一体化程度不强等瓶颈问题,如何将中医证候量表有效服务于临床成为值得关注和解决的问题。人工智能对于大数据的深度学习和融合能力带来的启示,使笔者提出将已有成功研制的量表、研制量表的方法学成果与人工智能有机融合的设想,试图将中医证候量表作为中医人工智能获取深度学习资料的途径,将人工智能作为中医证候量表临床推广应用的载体,为智能化中医药临床决策与疗效评价模式的构建提供思路。

关键词: 中医证候量表, 中医人工智能, 疗效评价, 临床决策

Abstract: TCM pattern scale is turning TCM patterns into the clinical curative effect evaluation parameters, but it still faces a lot of bottlenecks such as poor standardization, inadequate clinical application, and lack of “pattern differentiation-diagnosis-treatment-evaluation” integration. How to effectively apply the scale in clinical settings has become a problem worthy of attention and in need of solution. Artificial intelligence's ability of deep learning and integration of big data has inspired the present researchers to put forward the hypothesis that integrates the existing scales, methodology of scale development and artifical intelligence. TCM scales may be used as the way for TCM artificial intelligence to access deep learning materials, and artificial intelligence as the means of clinical application of TCM pattern scale. The research provides reference for the development of intelligent TCM clinical decision making and efficacy evaluation.

Key words: TCM pattern scale, TCM artificial intelligence, efficacy evaluation, clinical decision-making

中图分类号: 

  • R241