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Table 10 A test example highlighting the extracted side effects obtained by CNN-NEAT’s Attention versus baselines

From: Neural side effect discovery from user credibility and experience-assessed online health discussions

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  1. In the Post content column, the correct and incorrect side effects are highlighted in blue and red, respectively. The extracted side effects of UMLS Tagging, Neural Extractor and CNN-NEAT’s Attention are followed by <U>, <X>, and <N>, respectively. The Cluster’s side effects column shows the list of common side effects in user 8420’s cluster
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Journal of Biomedical Semantics

ISSN: 2041-1480