An intelligent TCMEP differentiation system

Chu Na, Lizhuang Ma, Zhou Min

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The collection and process in four diagnostic information of traditional Chinese medicine (TCM) are unsure and fuzzy. So it badly affects the veracity of diagnostic conclusion. This paper, based on former research work and eight principal theory of TCM, develops an intelligent ensemble TCM Eight Principal diagnosis system. Firstly, the acquisition of objective-oriented and quantitative four diagnostic information of TCM is an important prerequisite for intelligent diagnostic systems. In this paper, the system utilized tongue instrument, color inspection instrument, pulse diagnosis instrument, and point diagnosis instrument, to collect TCM symptoms and signs. And secondly, based on incremental symmetrical uncertainty in four views, the critical symptoms subsets are selected from original and noise symptoms. Then the syndrome type of a new case is predicated automatically by use of the intelligent ensemble TCMEPD system. In this paper, average 17.75 critical symptoms are selected from 177 symptoms and corresponding syndrome of 566 new cases are recognized.

Original languageEnglish
Title of host publication2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages2686-2691
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China
Duration: 7 Jul 20109 Jul 2010

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/TerritoryChina
CityJinan
Period7/07/109/07/10

Keywords

  • Classification accuracy
  • Feature selection
  • Intelligent diagnosis system
  • Syndrome differentiation
  • Traditional Chinese medicine

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