Computerized Tongue Diagnosis Based on Bayesian Networks

Abstract

Tongue diagnosis is an important diagnostic method in traditional Chinese medicine (TCM)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 abnormal tongue appearances and diseases. This is not well understood in Western medicine, and thus greatly obstructs its wider use. In this chapter, we present a novel computerized tongue inspection method aimed at addressing these problems. First, two kinds of quantitative features, chromatic and textural, are extracted from tongue images by using popular digital image processing techniques. Then, Bayesian networksBayesiannetwork 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 classifiersBayesiannetwork classifier(BNC) are reported.