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Predicting adverse drug reaction outcomes with machine learning
2018
International Journal of Community Medicine and Public Health
Adverse drug reactions are a drug safety issue affecting more than two million people in the U.S. annually. The Food and Drug Administration (FDA) maintains a comprehensive database of adverse drug reactions reported known as FAERS (FDA adverse event reporting system), providing a valuable resource for studying factors associated with ADRs. The goal of the project is to build predictive models to predict the outcome given patient characteristics and drug usage. The results can be valuable for
doi:10.18203/2394-6040.ijcmph20180744
fatcat:uu2dap3hrbe5tnagkzrzkmuxou