Acknowledgements
Table III.11: CRF performance in setting II.
['[BOLD] Drugs', '[BOLD] Sensitivity', '[BOLD] Specificity', '[BOLD] Rare SE Recall', '[BOLD] Accuracy']
Ch4S3SS4SSSx3 Ch4S4SS1SSSx2 -Ch5S3SS1SSSx4 Ch5S3SS1SSSx7 -Ch5S3SS2SSSx3 Ch5S3SS2SSSx6 Ch5S3SS3SSSx4 Ch5S3SS3SSSx5 Ch5S4SS2SSSx2 -Ch5S4SS3SSSx3 -Ch5T13 The drugs Metformin, Levothyroxine and Omeprazole have much less number of side-effects, and the classifier does an almost perfect job in identifying all of them. Overall, the classifier has an accuracy improvement of 2−3% over these drugs in Setting II. However, the classifier accuracy significantly drops for the anti-depressants (Alprazolam) after the introduction of “less common” side-effects as positive statements in Setting II. The performance drop is attributed to the loss of 8.42% in specificity due to increase in the number of false-positives, as there is conflict between what the model learns from the language features (about negative side-effects) and that introduced as ground-truth.