Suspected Adverse Drug Reaction Detection using Association Rules Mining and Fuzzy sets

Finding adverse drug reaction ADRs is vital to sustaining human life. The effect of the drug under several factors such as age, drug quantity, laboratory results, sex and drug duration are necessary to improve the quality of human body treatment has not been used previously. The paper uses real databases collected from US hospitals to validate the developed detection system. This paper presents an intelligent system based on association rule mining rules and fuzzy set theory. The developed system has the potential to determine the relationships between a drug and its adverse reactions. This is done by extracting several rules with high support and confidence. Two physicians review the results of the proposed system to validate the results. The results matches the ADRs defined by medical associations and drug companies.