Back to search

Article

Improving the measurement and detection of serious adverse drug reactions in databases of stored electronic health records

2016-01-01

Abstract excerpt

Background: Adverse drug reactions are responsible for a significant proportion of hospitalisations. This PhD aimed to develop and optimise methods for detecting serious adverse drug reactions in databases of electronic health records for use in pharmacoepidemiology and genetic epidemiology, with a focus on cholestatic liver injury. Methods: A systematic review was performed before developing a multiple database s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
aff5ab7e-e34a-52c2-91f1-72592ada15a4
DOI
10.17037/pubs.02545199
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Improving the measurement and detection of serious adverse drug reactions in databases of stored electronic health recordsDOI 10.17037/pubs.02545199
Select a neighboring publication to make it the new centre.