Research And Implementation Of Visualization Map Of Drug Information Based On Similarity Calculation

Nowadays, the medical e-commerce industry is developing so rapidly that the growing pharmacists can’t keep up with the industry growth rate. Also, as the huge medicine database is now updating frequently day by day, it seems hard for a medical e-commerce company with lack of professional staffs to provide better medicine guidance and recommendation for customers.To solve this problem, this paper proposes a medicine information visualization map based on medicine similarity analysis, which can transform the complex medicine database into medicine knowledge base for better understanding the medicine information. This medicine information visualization map can be used to enable the non-professional staff to provide professional medicine guidance and recommendation, thereby not only improve the operation efficiency and professional service level, but also reduce the human resource cost.This paper first makes a research about the current development of information visualization and some classic tools. Then, the concept of information visualization map is constructed based on the structure of medicine specification. And after summarizing the existing similarity analysis algorithms, a medicine-specific similarity analysis calculation model is proposed, which is proved by experiments to be more reasonable and applicable in medical domain. Finally, a system is designed and implemented based on a real medical e-commerce website to realize the medicine information visualization map, which can analyze the similarity between medicines automatically, then provide more clear relationships between medicines, thereby enable users better understand the medicine knowledge and find the appropriate medicines for customers more efficiently.