Objective:To explore the regularityof syndrome and therapeutic principles on anemia with text mining technique. Method: The data was from Chinese BioMedical literature database. The regularities of traditional Chinese medicine (TCM) syndrome

TCM treatment method

TCM decoction and herb on anemia were mined out by data slicing algorithm. The results were demonstrated with tables and networks. Result: The deficiency syndrome was the main TCM pattern of anemia. It generally included the deficiency of liver

spleen and kidney. Reinforcing method was usually used and it was often combined with the method of activating blood and resolving stasis. The herbal decoction was focus on the functions of replenishing qi

blood and activating blood. The decoctions such as Guipitang

Siwutang and Dangguibuxuetang were commonly used. The main function of herbal pieces was the same as decoctions. The herbal pieces such as angelica

atractylodes

ginseng

glycyrrhiza

jujube and astragaluswere most often used. Conclusion: Text mining approach provides an important method in exploring the regularities of syndrome and therapeutic principles.