Rapid identification method and system for adverse reactions of drugs based on big data

Abstract

The invention discloses a rapid identification method and system for adverse reactions of drugs based on big data. The rapid identification method for adverse reactions of drugs based on big data in the invention comprises the following steps: S11, acquiring adverse reaction data of a drug; S12, comparing the obtained adverse drug reaction data with a pre-stored drug name ontology knowledge base and an adverse reaction name ontology knowledge base to generate drug-adverse reaction distributed entity vectors; S13, according to the generated drug-adverse reaction distributed entity vectors, calculating a plurality of association degree values of the drug and an adverse reaction body; S14, solving a confidence interval of each association degree value according to the plurality of associationdegree values obtained by calculation, and comparing the confidence interval of each association degree value obtained by solving with a preset reference value to obtain a comparison result; and S15,judging whether the comparison result is greater than a preset threshold value or not, and if so, determining that the comparison result is an adverse drug reaction signal, or if not, conducting exclusion.

Description

technical field [0001] The invention relates to the technical field of emergency medicine, in particular to a method and system for quickly identifying adverse drug reactions based on big data. Background technique [0002] On the one hand, the use of antiviral drugs has played a positive role in treating human diseases and improving the health of patients; on the other hand, the adverse reactions of drugs have caused serious harm to human health in some cases. [0003] The identification of traditional drug adverse reactions involves corresponding animal experiments and various stages of phase I, II and III clinical trials, by collecting drug-related or unrelated adverse events. Based on the characteristics of long-term clinical trial process, restrictions on combined drug use, and limited data types, it is difficult to obtain information on adverse drug reactions in scenarios such as long-term toxicity, special populations, and combined drug use, and it is not suitable for...

AI Technical Summary

Problems solved by technology

Based on the characteristics of long-term clinical trial process, restrictions on combined drug use, and limited data types, it is difficult to obtain information on adverse drug reactions in scenarios such as long-term toxicity, special populations, and combined drug use, and it is not suitable for public emergencies. discovery of adverse reactions

[0004] Although the drug generation and R&D team will conduct clinical trials on the safety and effectiveness of the drug before the drug goes on the market, but limited by the strict inclusion and exclusion criteria and sample size limitations of the drug clinical trial, the clinical trial cannot fully expose the drug. Adverse reactions

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