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A Large-Scale CNN Ensemble for Medication Safety Analysis
[article]
2017
arXiv
pre-print
Revealing Adverse Drug Reactions (ADR) is an essential part of post-marketing drug surveillance, and data from health-related forums and medical communities can be of a great significance for estimating such effects. In this paper, we propose an end-to-end CNN-based method for predicting drug safety on user comments from healthcare discussion forums. We present an architecture that is based on a vast ensemble of CNNs with varied structural parameters, where the prediction is determined by the
arXiv:1706.05549v1
fatcat:iduw42taxvahrpagt52muuiewm