A REVIEW ON POSSIBILITY OF USING SOCIAL MEDIA DATA FOR PHARMACOVIGILANCE

Adverse Drug Reactions (ADRs) are the harmful reactions caused by medication intake/application. Pharmacovigilance is the collection of practices that are correlated with the medicines' identification, evaluation, awareness, and avoidance of adverse effects. Social media frameworks are useful in gaining information to recognize the developments in public health sector. It provides a considerable amount of information to detect ADRs.There are some issues on getting, detecting and investigating information from social media to prepare it in a user readable format.This paper presents the extensive survey on various methods to extract the information for Pharmacovigilance purpose from social media. The main methods discussed here include: Text mining, Text classification and Machine Learning or Artificial Intelligence.