DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information

Artem Bobrov, Domantas Saltenis, Zhaoyue Sun, Gabriele Pergola, Yulan He
6/18/2024
cs.HCcs.AIcs.IR

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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 https://www.youtube.com/watch?v=RTqDgxzETjw. We also deployed an online demonstration system at https://drugwatch.net/.

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Cite this paper

@article{bobrov2024drugwatch,
  title  = {DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information},
  author = {Artem Bobrov and Domantas Saltenis and Zhaoyue Sun and Gabriele Pergola and Yulan He},
  year   = {2024},
  eprint = {2407.01585},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.01585v1}
}

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