DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information
Artem Bobrov, Domantas Saltenis, Zhaoyue Sun, Gabriele Pergola and, Yulan He

TL;DR
DrugWatch is an interactive visualization platform that consolidates multi-source drug safety data, enabling users to explore side effects, retrieve reports, and annotate texts with NLP tools for comprehensive drug safety analysis.
Contribution
The paper presents DrugWatch, a novel, user-friendly platform integrating multi-source data, NLP annotation, and interactive visualization for enhanced drug safety research.
Findings
Supports comprehensive understanding of drug side effects.
Enables flexible retrieval of medical reports.
Provides automated annotation of medical texts.
Abstract
Drug safety research is crucial for maintaining public health, often requiring comprehensive data support. However, the resources currently available to the public are limited and fail to provide a comprehensive understanding of the relationship between drugs and their side effects. This paper introduces DrugWatch, an easy-to-use and interactive multi-source information visualisation platform for drug safety study. It allows users to understand common side effects of drugs and their statistical information, flexibly retrieve relevant medical reports, or annotate their own medical texts with our automated annotation tool. Supported by NLP technology and enriched with interactive visual components, we are committed to providing researchers and practitioners with a one-stop information analysis, retrieval, and annotation service. The demonstration video is available at…
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Videos
Taxonomy
TopicsScientific Computing and Data Management
Methodstravel james
