隐性知识学习——以临床模拟为例

doi:10.11959/j.issn.2096-6652.202149

智能科学与技术学报 ›› 2021, Vol. 3 ›› Issue (4): 492-498.doi: 10.11959/j.issn.2096-6652.202149

隐性知识学习——以临床模拟为例

董军

中国科学院苏州纳米技术与纳米仿生研究所，江苏苏州 215123

修回日期:2021-11-22 出版日期:2021-12-15 发布日期:2021-12-01
作者简介:董军（1964- ），男，博士，中国科学院苏州纳米技术与纳米仿生研究所研究员、博士生导师，主要研究方向为人工智能及其在医疗健康、传统文化中的应用

Implicit knowledge learning:taking clinical simulation for example

Jun DONG

Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China

Revised:2021-11-22 Online:2021-12-15 Published:2021-12-01

摘要/Abstract

摘要：

在计算机辅助心血管疾病诊断研究过程中，已有方法大多忽视领域经验的全面建模，针对此问题提出关注隐性知识的挖掘与学习策略。讨论了知识工程中隐性知识的重要性及其向显式知识转化的过程，介绍了模拟医生专家思维过程的规则推理与机器学习相结合的技术路线，分析了计算机辅助中医新方生成理念，即机器通过模拟中医思维过程给出针对某种疾病的全新处方。希望本思想能为人工智能其他领域的应用建模提供参考。

关键词: 智能模拟, 隐性知识, 经验, 常识, 辅助诊断

Abstract:

In the course of computer-aided cardiovascular disease diagnosis, field experience modeling usually being ignored.Hereafter the strategy to focus on the discovey and study of implicit knowledge was presented.The importance of implicit knowledge in knowledge engineering and its transformation process to explicit knowledge was discussed.Technical roadmap simulating physicians’ thinking by infusing rules inference and machine learning was introduced.And the computer-aided traditional Chinese medicine new prescription generating was analysed, that is, the machine gave a new prescription for a certain disease by simulating the thinking process of traditional Chinese medicine.It is hoped that this approach can provide a reference for the modeling of applications in other fields of artificial intelligence.

Key words: intelligence simulation, implicit knowledge, experience, common sense, computer-aided diagnosis

中图分类号:

TP391

董军. 隐性知识学习——以临床模拟为例[J]. 智能科学与技术学报, 2021, 3(4): 492-498.

Jun DONG. Implicit knowledge learning:taking clinical simulation for example[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 492-498.

图/表 3

参考文献 8

[8]	DONG J . Engineering-oriented study on modernization of traditional Chinese medicine—taking innovative prescription as an example[J]. Science, 2021,73(3): 33-35.
[9]	董军 . 辩证中医[J]. 科学, 2020,72(4): 39-42.
	DONG J . Traditional Chinese medicine and challenge of the times[J]. Science, 2020,72(4): 39-42.
[10]	董军 . 中医切脉模拟之困境[J]. 科学, 2017,69(4): 34-36.
	DONG J . The predicament on simulation of Chinese traditional pulse-taking[J]. Science, 2017,69(4): 34-36.
[11]	叶永烈 . 华丽转身[M]. 成都: 天地出版社, 2017:590.
	YE Y L . Turing around gorgeously[M]. Chengdu: Tiandi Press, 2017:590.
[12]	JIN L P , DONG J . Intelligent health vessel ABC-DE:an electrocardiogram cloud computing service[J]. IEEE Transactions on Cloud Computing, 2020,8(3): 861-874.
[1]	阿尔伯特·爱因斯坦 . 爱因斯坦文集（第一卷）[M]. 北京: 商务印书馆, 1976:445.
	EINSTEIN A . The collected works of Einstein (volumeⅠ)[M]. Beijing: The Commercial Press, 2009:445.
[2]	克利福德·格尔茨 . 地方知识——阐释人类学论文集[M]. 杨德睿,译.北京: 商务印书馆, 2014:123,145.
	GEERTZ C . Local knowledge:further essays in interpretive anthropology[M]. Translated by YANG D R. Beijing: The Commercial Press,, 2014:123,145.
[3]	迈克尔.波兰尼 . 个人知识[M]. 许泽民,译.贵阳: 贵州人民出版社, 2000:152.
	POLANYI M . Personal knowledge[M]. Translated by XU Z M. Guiyang: Guizhou People’s Publishing House Co.,Ltd., 2000:152.
[4]	DONG J , ZHANG J W , ZHU H H ,et al. A remote diagnosis service platform for wearable ECG monitors[J]. IEEE Intelligent Systems, 2012,27(6): 36-43.
[5]	董军 . “心迹”的计算——隐性知识的人工智能途径[M]. 上海: 上海科学技术出版社, 2017.
	DONG J . Computation of heart ＆ mind trace:artificial intelligence approach on implicit knowledge[M]. Shanghai: Shanghai Scientific and tecnnical Press, 2017.
[6]	ZHOU F Y , JIN L P , DONG J . Premature ventricular contraction detection combining deep neural networks and rules inference[J]. Artificial Intelligence in Medicine, 2017,79: 42-51.
[7]	约翰.杜威 . 确定性的寻求:关于知行关系的研究[M]. 傅统先,译.上海: 上海人民出版社, 2005:160.
	DEWEY J . The quest for certainty:a study of the relation of knowledge and action[M]. Translated by FU T X. Shanghai: Shangha People’s Publishing House, 2005:160.
[8]	董军 . 面向工程的中医现代化探索:以新方生成为例[J]. 科学, 2021,73(3): 33-35.

隐性知识学习——以临床模拟为例

Implicit knowledge learning:taking clinical simulation for example

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 8

相关文章 1

Metrics

推荐阅读 0