The Early Warning Method of Drug Adverse Reaction Monitoring Based on Data Mining Algorithm Was Studied

Abstract

Abstract With the continuous progress of modern society, human rights are becoming more and more perfect, especially the medical system, because of the inevitability of development, at this stage has achieved a lot of proud results, but this can not meet the modern people’s pursuit of health. Because the use of resources in the industrial society has led to the emergence of many viruses that have not been seen many, so now more and more kinds of drugs, we are considering more and more things, one of which is about adverse reactions to drugs. Therefore, this paper is based on this data mining algorithm to monitor adverse drug reactions early warning method. Based on the security of the user’s personal privacy data, this paper proceeds to monitor the drug reaction in real time as the way, adopts the data mining algorithm as the main intelligent means used, compares it by consulting the domestic and foreign literature, and experiments with sandbox simulation as a modeling method, and finally results in the experimental results. The results show that if we can monitor drug reactions in real time, we can monitor adverse reactions early.