A data science approach to drug safety: Semantic and visual mining of adverse drug events from clinical trials of pain treatments

作者：

Highlights：

• Few computational approaches were proposed to analyse the data in trial registries.

• We present a platform for analysing adverse drug events observed during trials.

• This platform relies on semantic web technologies and visual flower glyphs.

• We applied the platform to pain treatments (available online).

• It allowed to find back known results previously found via meta-analyses.

摘要

•Few computational approaches were proposed to analyse the data in trial registries.•We present a platform for analysing adverse drug events observed during trials.•This platform relies on semantic web technologies and visual flower glyphs.•We applied the platform to pain treatments (available online).•It allowed to find back known results previously found via meta-analyses.

论文关键词：Data mining,Ontology,Visual analytics,Glyph,Drug safety,Adverse drug events,Pain treatments,Painkillers

论文评审过程：Received 22 June 2020, Revised 21 January 2021, Accepted 7 April 2021, Available online 15 April 2021, Version of Record 17 April 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102074