An algorithm to detect unexpected increases in frequency of reports of adverse events in EudraVigilance.

Luis Correia PinheiroGianmario CandoreCosimo ZaccariaJim SlatteryPeter Arlett

Published in: Pharmacoepidemiology and drug safety (2017)

The results are encouraging and suggest that the algorithm could be useful for the detection of concerns that manifest as changes in frequency of reporting; however, further testing, including in prospective use, is warranted.

Keyphrases

machine learning
deep learning
adverse drug
neural network
loop mediated isothermal amplification
real time pcr
electronic health record