Chinese Journal of Intelligent Science and Technology ›› 2021, Vol. 3 ›› Issue (4): 492-498.doi: 10.11959/j.issn.2096-6652.202149

• Papers and Reports • Previous Articles     Next Articles

Implicit knowledge learning:taking clinical simulation for example

Jun DONG   

  1. 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


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

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