Detect adverse drug reactions for drug Alendronate

TL;DR

This paper presents a new computational approach using feature matrix and selection to detect adverse drug reactions, demonstrated on Simvastatin with promising results, though further validation is required.

Contribution

The study introduces an original feature-based method for ADR detection, improving performance over existing computerized techniques.

Findings

Major side effects for Simvastatin identified

Better detection performance than previous methods

Further investigation needed for clinical validation

Abstract

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 Simvastatin. 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.