Abstract
Xi Jiuyi, born in 1923, is a famous expert on peripheral vascular diseases. He has been engaged in scientific research and clinical teaching over 60 years and cured of the countless patients. He has decided the five clinical classifications of diabetic foot (DF) and got outstanding curative effects. Following the medical practice of Professor Xi and using engineering technology, we collect symptoms, signs, tongue and pulse condition of 103 cases. Then we use fuzzy C-means clustering method by calculation iterative with the information of 103 cases. The result shows the average accuracy rate is 86.41% similarity with Professor Xi's results of clinical classification. With the expansion of the samples, we believe a higher accuracy rate can be reached. We can draw a conclusion that fuzzy C-means clustering method can reflect the Professor Xi's idea of DF clinic classification, thus inherit the academic ideas of Xi effectively.