Application Of Data Mining To Analyze Professor Fang Dingya 's Experience In Treating Primary Sjogren' S Syndrome

[Objective] Applying the data mining technology to conclude and summarize Professor Fang Dingya’s train of thought and medication experience of curing primary Sjogren syndrome(pSS).[Methods]The data of Professor Fang Dingya’s 117 patients with primary Sjogren syndrome were recorded, including the basic personal information such as gender, age, symptoms, tongue, pulse and therapy, etc. Formulate the structured collection template of electronic medical record according to the clinical diagnostic criteria of Traditional Chinese Medicine and Western medicine of Sjogren syndrome. Input the cases to "China Academy of Chinese Medicine Sciences Xiyuan Hospital case collection and mining system", and then analyze and summarize the symptoms, syndromes, medication, compatibility of medicines and its relationship by using clustering analysis and association analysis.[Results]Professor Fang believe that the common syndromes include Qi and yin deficiency syndrome, liver yin and kidney yin deficiency syndrome, damp heat stasis syndrome, blood stasis syndrome, and the main treatments of pSS are nourishing yin, benefiting Qi for activating blood circulation, clearing heat, tonifying liver and kidney, detoxifying, removing dampness and relieving pain, etc. And the commonly used medicines are shengdi, maidong, beishashen, shihu, gouqizi, chishao, danggui, honghua, shenghuangqi, taoren, tiandong, fuling, baihe, danpi, baihuasheshecao, shenggancao, jinyinhua, xuanshen, etc. Clinically the most frequently used medicines (support>0.4) are beishashen, shengdi, maidong, gouqizi and shihu, and the main formula is Yiguan Decoction combined with Simiao Yongan Decoction.[Conclusion]The data mining analysis results reflect Professor Fang Dingya’s train of thought and experience of curing Sjogren syndrome basicly.