  Adverse drug reactions (ADR) are widely concerning for public health issue.
In this study we propose an original approach to detect ADRs using a feature
matrix and feature selection. The experiments are carried out on the drug
Simvastatin. Major side effects for the drug are detected and better
performance is achieved compared to other computerized methods. Because
currently the detected ADRs are based solely on computerized methods, further
expert investigation is needed.
