By reviewing and analyzing the patent of Traditional Chinese Medicine compound for the prevention and treatment of chronic complications of diabetes, this paper aims to analize the patent of Traditional Chinese Medicine compound and medication rules for the prevention and treatment of diabetes complications with data mining technology.

Based on data mining technology, this paper searched for the patent of Traditional Chinese Medicine compound that could prevent and treat chronic complications of diabetes with SOOIP (Intellectual Property Big Data Center) website, and analyzed the application trends, number , categories, etc. Then IBM SPSS Modeler 18.0 software was used for correlation analysis, and finally the medication and compatibility of the Chinese medicine prescriptions are summarized.

There were all together 307 patents, and the number of patent applications for the prevention and treatment of chronic complications of diabetes with Chinese medicines has increased before 2015. Most patents in classification belongs to A61P. China accounts for the majority of the global total applications, of which Shandong province accounts the most. The applicants are mostly individuals and enterprises. The categories commonly used in patent applications are mainly oral drug combinations; The Astragali Radix, Puerariae lobatae Radix, Rehmanniae Radix, Coptidis Rhizoma, Salviae miltiorrhizae Radix et Rhizoma are the most commonly used application. The Traditional Chinese Medicine patent mostly has sweet taste, warm in property, and channel-tropism of medicine is mostly liver, as well as the liver is most associated with bitterness in taste. The commonly used couplet medicines are Puerariae lobatae Radix-Astragali Radix, Puerariae lobatae Radix-Rehmanniae Radix, Astragali Radix-Coptidis Rhizoma.

The number of such patents applied for in China is small, and the regional development is unbalanced; Data mining technology can be used to discover the compatibility rule of Chinese patent prescription prescription for diabetes prevention and treatment, so as to provide reference for clinical optimization of prescription, improvement of curative effect and development of new drugs for treatment of diabetic complications.

Diabetes complications; Data mining; Patent analysis; Drug utilizing regularity