Drug review analytics of neurological disorders

Abstract

These days, adverse reactions caused due to medical drugs are one of the major causes of loss of human life. Highly priced laboratory tests aren't enough to obtain all the adverse reactions caused by the majority of the drugs. As a result, it is the need of the hour to develop systems which would supervise effects of drugs after they are cleared for use. Here, we evaluate a self-operating system for drug effectiveness identification on a set of user comments which are annotated manually. We shall try to obtain a relation between the already documented adverse reactions of a drug and those obtained by the proposed system. For this purpose, the system would use unlabeled data. It has been observed that user comments contain a vast variety of complex sentences which pose a natural language challenge. However, these user reviews provide huge scope for further exploration as well.