Research on the computer-assisted intelligent diagnosis system of Traditional Chinese Medicine

Abstract

Considering the fact that syndrome differentiation of Traditional Chinese Medicine (TCM) is multi-level, multi-angle, holistic and integrated, the concept of fuzzy information granulation is introduced to the intelligent TCM diagnosis system in this paper. The model of TCM knowledge representation and syndrome differentiation is proposed, and then is used to intelligent diagnosis for children with sexual precocity disease. Combining with the database technology, the prototype of computer-assisted intelligent diagnostic system of TCM is developed. Testing result using practical cases shows that the diagnostic accuracy for precocious puberty classification reaches 96%. Knowledge of the intelligent diagnostic system can either be derived from the know-how of Chinese medicine experts or be learnt from cases, and can be modified through self-learning. It is useful to TCM syndrome, objectification of clinical evaluation and scientific research of TCM.