TEDAR: Temporal dynamic signal detection of adverse reactions

作者：

Highlights：

• Detection of signals in pharmacovigilance datasets is improved by temporal dynamics.

• TEDAR detects a greater number of true signals without increasing false positives.

• TEDAR detects adverse reactions months before the other methodologies.

摘要

•Detection of signals in pharmacovigilance datasets is improved by temporal dynamics.•TEDAR detects a greater number of true signals without increasing false positives.•TEDAR detects adverse reactions months before the other methodologies.

论文关键词：Pharmacovigilance datasets,Adverse drug reactions,Signal detection,Early signal detection,Dynamic temporal intervals,Graph-based algorithm

论文评审过程：Received 27 November 2020, Revised 5 November 2021, Accepted 6 November 2021, Available online 12 November 2021, Version of Record 15 November 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102212