Drug Recommendation System Research Based On The Mining Of Similarity And Conflict Relations

Drugs recommendation system based on similarity and conflict relationship mining research is how to fast and efficient to users recommend the best drug, let everyone in daily life can find what you need through our system. Save the unnecessary time, about in drugs in an ocean of aimless looking for, convenient for people to use drugs. This paper mainly contains the following parts:improved terms extraction algorithm, an improved similarity model drug and drug automatic construction of recommendation system. The main research content is as follows:First study the composition of term extraction algorithm, analyze, summarize and combining drugs instruction to them, the composition of the term extraction algorithm is presented.Second the analysis and research on the current text similarity calculation method, combined with the composition of term extraction, in according to the characteristics of medicine terminology, build a drug similar calculation model. Third the analysis and design based on similarity and conflict relationship mining drugs recommendation system.Operating through the experiment and the results obtained show that this drug recommendation system based on similarity and conflict relationship mining, in our current experimental environment, consistent with our expectations of the query results, the practical value of the system is good. This article innovation for now some algorithm to detect drug between incomplete problem, puts forward the similarity relation between drugs and conflict relationship together, in addition this paper builds the similarity calculation model, especially considering the drugs and drugs.