Computerized tongue diagnosis based on Bayesian networks

Bo Pang, Dapeng Zhang, Naimin Li, Kuanquan Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

125 Citations (Scopus)

Abstract

Tongue diagnosis is an important diagnostic method in traditional Chinese medicine (TCM). However, due to its qualitative, subjective and experience-based nature, traditional tongue diagnosis has a very limited application in clinical medicine. Moreover, traditional tongue diagnosis is always concerned with the identification of syndromes rather than with the connection between tongue abnormal appearances and diseases. This is not well understood in Western medicine, thus greatly obstruct its wider use in the world. In this paper, we present a novel computerized tongue inspection method aiming to address these problems. First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular digital image processing techniques. Then, Bayesian networks are employed to model the relationship between these quantitative features and diseases. The effectiveness of the method is tested on a group of 455 patients affected by 13 common diseases as well as other 70 healthy volunteers, and the diagnostic results predicted by the previously trained Bayesian network classifiers are reported.
Original languageEnglish
Pages (from-to)1803-1810
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume51
Issue number10
DOIs
Publication statusPublished - 1 Oct 2004

Keywords

  • Computerized tongue diagnosis
  • TCM modernization
  • Terms-Bayesian network

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this