A Survey on Adverse Drug Reactions analysis in Social Media data with Big data and Hadoop
A. Poongodi, Latha Parthiban · International Journal of Web Technology · 2016
Due to growth of science and technology, the amount of unstructured health care data produced in social media in internet world is growing in rapid manner compared to structured health care data. This leads to quiet vast range of data availability in social media for analysing Adverse Drug Reactions of medicines, termed as Pharmacovigilance. The main objective of Pharmacovigilance is to detect, assess, and understand the adverse effect due to intake of medicines and prevention of these reactions. The dynamic growth in the unstructured social media data presents both challenges and opportunities in analysis which leads to requirement of novel solutions rather than using traditional analytic tools. Hence, Big data plays an important role in recent research works done on pharmacovigilance as it provides more efficiency in scalability.