计算机科学 ›› 2018, Vol. 45 ›› Issue (11A): 32-36.

• 综述研究 • 上一篇    下一篇

机器学习算法在中医诊疗中的研究综述

张晓航1,2, 石清磊4, 王斌5, 王炳蔚1, 王永吉1,3, 陈力1,2, 吴敬征1   

  1. 中国科学院软件研究所协同创新中心 北京1001901
    中国科学院大学 北京1000492
    中国科学院软件研究所计算机科学国家重点实验室 北京1001903
    西门子医疗系统有限公司北京分公司临床科研部 北京1001024
    中国中医科学院中医临床基础医学研究所 北京1007005
  • 出版日期:2019-02-26 发布日期:2019-02-26
  • 通讯作者: 王永吉(1962-),男,博士,教授,CCF高级会员,主要研究方向为虚拟化技术、隐蔽信道、实时系统、人工智能,E-mail:ywang@itechs.iscas.ac.cn
  • 作者简介:张晓航(1995-),男,硕士生,主要研究方向为图像处理、深度学习;石清磊(1982-),男,硕士,主要研究方向为MR及AI新技术在临床中的应用;王 斌(1976-),男,博士,副研究员,主要研究方向为医疗信息方向的数据采集与利用;王炳蔚(1991-),男,硕士,主要研究方向为机器学习;陈 力(1989-),男,博士生,主要研究方向为实时系统、优化算法、可满足性模理论;吴敬征(1982-),男,博士,副研究员,CCF专业会员,主要研究方向为隐蔽信道分析、网络信息安全、安全操作系统。
  • 基金资助:
    本文受国家重点研发计划项目(2017YFB1002300,2017YFC1703505),国家自然科学基金(61772507)资助。

Review of Machine Learning Algorithms in Traditional Chinese Medicine

ZHANG Xiao-hang1,2, SHI Qing-lei4, WANG Bin5, WANG Bing-wei1, WANG Yong-ji1,3, CHEN Li1,2, WU Jing-zheng1   

  1. X-Lab,Institute of Software,Chinese Academy of Sciences,Beijing 100190,China1
    University of Chinese Academy of Sciences,Beijing 100049,China2
    State Key Laboratory of Computer Science,Institute of Software,Chinese Academy of Sciences,Beijing 100190,China3
    Diagnostic Imaging Scientific Research Department,Siemens Healthcare Limited Company Branch of Beijing,Beijing 100102,China4
    Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China5
  • Online:2019-02-26 Published:2019-02-26

摘要: 机器学习算法包括传统机器学习算法和深度学习算法。传统机器学习算法在中医诊疗领域中的应用研究较多,为探究中医辩证规律提供了参考,也为中医诊疗过程的客观化提供了依据。与此同时,随着其在多个领域不断取得成功,深度学习算法在中医诊疗中的价值越来越多地得到业界的重视。通过对中医诊疗领域中使用到的传统机器学习算法与深度学习算法进行述评,总结了两类算法在中医领域中的研究与应用现状,分析了两类算法的特点以及对中医的应用价值,以期为机器学习算法在中医诊疗领域的进一步研究提供参考。

关键词: 机器学习, 深度学习, 中医

Abstract: Machine learning algorithms include traditional machine learning algorithms and deep learning algorithms.There exist more reports for traditional machine learning algorithms in the field of traditional Chinese medicine(TCM) diagnosis and treatment,which provides reference used for exploring the dialectical laws of TCM and provides the basis for the objectification of TCM diagnosis and treatment.At the same time,the latest advances in deep learning technologies provide new effective paradigms in obtaining end-to-end learning models from complex data.Deep learning algorithms have gained great success and become increasingly popular in more and more areas.The value of deep learning algorithms in TCM diagnosis and treatment has been paid more and more attention to by the industry.In this paper,the review of traditional machine learning algorithms and deep learning algorithms used in the advance of the TCM domain overe given.Firstly,the research and application status of the two algorithms in the TCM domain was summarized.Then in view of the analyzed work,different characteristics and limitations were found between traditional machine learning algorithms and deep learning algorithms.Finally,these characteristics and limitations were discussed and the existing problems and recommendations were put forward,so as to provide a reference for the further study of machine learning algorithm in the field of TCM.

Key words: Deep learning, Machine learning, Traditional Chinese medicine

中图分类号: 

  • TP181
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