Toward multimodal signal detection of adverse drug reactions.

ABSTRACT:

Objective

Improving mechanisms to detect adverse drug reactions (ADRs) is key to strengthening post-marketing drug safety surveillance. Signal detection is presently unimodal, relying on a single information source. Multimodal signal detection is based on jointly analyzing multiple information sources. Building on, and expanding the work done in prior studies, the aim of the article is to further research on multimodal signal detection, explore its potential benefits, and propose methods for its construction and evaluation.

Material and methods

Four data sources are investigated; FDA's adverse event reporting system, insurance claims, the MEDLINE citation database, and the logs of major Web search engines. Published methods are used to generate and combine signals from each

SUBMITTER: Harpaz R 

PROVIDER: S-EPMC8502488 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature