Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data

Accuracy of an automated knowledge base for identifying drug adverse reactions

(2017) E.A. Voss et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Exploiting heterogeneous publicly available data sources for drug safety surveillance: computational framework and case studies

(2016) Vassilis G. Koutkias et al.   Expert Opinion On Drug Safety

The health care and life sciences community profile for dataset descriptions

(2016) Michel Dumontier et al.   PeerJ

A curated and standardized adverse drug event resource to accelerate drug safety research

(2016) Juan M. Banda et al.   Scientific Data

Computational Approaches for Pharmacovigilance Signal Detection: Toward Integrated and Semantically-Enriched Frameworks

(2015) Vassilis G. Koutkias et al.   DRUG SAFETY

A Method to Combine Signals from Spontaneous Reporting Systems and Observational Healthcare Data to Detect Adverse Drug Reactions

(2015) Ying Li et al.   DRUG SAFETY

Toward a complete dataset of drug–drug interaction information from publicly available sources

(2015) Serkan Ayvaz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Filtering big data from social media – Building an early warning system for adverse drug reactions

(2015) Ming Yang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter

(2014) Clark C. Freifeld et al.   DRUG SAFETY

Bridging Islands of Information to Establish an Integrated Knowledge Base of Drugs and Health Outcomes of Interest

(2014) Richard D. Boyce et al.   DRUG SAFETY

Identifying plausible adverse drug reactions using knowledge extracted from the literature

(2014) Ning Shang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

PREDOSE: A semantic web platform for drug abuse epidemiology using social media

(2013) Delroy Cameron et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Adverse Drug Events: Database Construction and in Silico Prediction

(2013) Feixiong Cheng et al.   Journal of Chemical Information and Modeling

Mining clinical text for signals of adverse drug-drug interactions

(2013) Srinivasan V Iyer et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Pharmacointeraction Network Models Predict Unknown Drug-Drug Interactions

(2013) Aurel Cami et al.   PLoS One

Interpreting observational studies: why empirical calibration is needed to correctp-values

(2013) Martijn J. Schuemie et al.   STATISTICS IN MEDICINE

SemMedDB: a PubMed-scale repository of biomedical semantic predications

(2012) H. Kilicoglu et al.   BIOINFORMATICS

Novel Data-Mining Methodologies for Adverse Drug Event Discovery and Analysis

(2012) R Harpaz et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU–ADR project

(2012) Paul Avillach et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions

(2012) Rave Harpaz et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

(2012) Mei Liu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Consistency in the safety labeling of bioequivalent medications

(2012) Jon Duke et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY