Introduction Adverse drug reaction (ADR) detection in hospitals is heavily reliant on
spontaneous reporting by clinical staff, with studies in the literature pointing to high rates of …

… for detecting previously unknown side effects from a drug … Therefore, detection of adverse
drug reactions from social … In this paper, we focus on identification of adverse drug reactions …

Monitoring the biomedical literature for cases of Adverse Drug Reactions (ADRs) is a critically
important and time consuming task in pharmacovigilance. The development of computer …

… detection of adverse drug reactions (… Automated ADR reporting presents an alternative
pathway to increase reporting rates, although this may be limited by over-reporting of other drug…

… research was to automate the search of publications concerning adverse drug reactions (ADR…
the number of extracted publications to confirm the drug/event association in the literature. …

… detection of adverse drug events in Section 3. We then depict an overview of the data sources
exploited in adverse drug reaction … of studies that attempt to automate this process, which …

… ) are an important source of data for detection of adverse drug reactions (ADRs). However, …
to detect ADRs from EHR data must account for confounders. We developed an automated …

… with which a particular drug is associated with an adverse drug reaction. There are different
… Automated data processing and classification using these evidence sources can greatly …

… drug reactions (ADRs) are a central component of pharmacovigilance. We propose a
signal-detection … (AERS) of the Food and Drug Administration and electronic health records …

… model for Adverse Drug Reaction (ADR) detection from text. … Automatic detection of adverse
drug reaction (ADR) mentions … for the task of ADR detection from user posted internet data; …