Application of Data Mining in Depth Analysis of Drug Use

With the growth of society and the progress of science and technology, people pay more and more attention to the problem of drug quality. In order to meet the needs of patients who are growing and becoming more complex, more accurate, and more updated and upgraded. This paper first describes the research status of data mining technology(DMT) at home and abroad, then introduces the text content analysis method and image binary graph correlation analysis method commonly used in DMT and experimental results, and then proposes a depth comparison based on data mining(DM) algorithm, and explains its advantages and disadvantages. Finally, the performance of DMT was tested, and the test results showed that the drug use depth analysis model based on DMT was fast in calculating drug ingredients, fast in interpreting literature, and high in the success rate of drug use analysis and in the future to give some reasonable suggestions.