Open AccessDrug Safety Report Generator
Author(s) -
Sudhir Dubey,
Pruthviraj Bhamre,
Akshay Patil,
Rahul Kumar
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/cseit21743
Subject(s) - drug , context (archaeology) , computer science , health records , event (particle physics) , medicine , pharmacology , health care , paleontology , physics , quantum mechanics , economics , biology , economic growth
This document provides an overview on identifying ICSR (Individual case safety reports) & Drug Safety Classification of Adverse Drug Events from free Text Electronic Patient Records and Information. As a remarkable rise is observed in the usage of digital health records the potential for extensive clinical data extraction has drawn much attention. We intend to separate the causes and effects of unfriendly drugs from the records. We have therefore promoted a machine learning-based framework for the planned signature test of hostile drugs or safe phrases in the event of a report. In addition, the framework also uses named substance recognition based on word references to identify drugs and diseases that are present at the same time. The framework evaluation of physical comments in the corpus and a context-related analysis of consumption, which was carried out on preselected drugs, showed convincing results.