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