Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts

(2016) Ioannis Korkontzelos et al.   JOURNAL OF BIOMEDICAL INFORMATICS

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Portable automatic text classification for adverse drug reaction detection via multi-corpus training

(2015) Abeed Sarker et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter

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

Adverse Drug Reactions of Spontaneous Reports in Shanghai Pediatric Population

(2014) Hui Li et al.   PLoS One

Pharmacovigilance Using Clinical Notes

(2013) P LePendu et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Web-scale pharmacovigilance: listening to signals from the crowd

(2013) Ryen W White 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

Percentage of Patients with Preventable Adverse Drug Reactions and Preventability of Adverse Drug Reactions – A Meta-Analysis

(2012) Katja M. Hakkarainen et al.   PLoS One

Identifying potential adverse effects using the web: A new approach to medical hypothesis generation

(2011) Adrian Benton et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Developing the Sentinel System — A National Resource for Evidence Development

(2011) Rachel E. Behrman et al.   NEW ENGLAND JOURNAL OF MEDICINE

Drug safety surveillance using de-identified EMR and claims data: issues and challenges

(2010) Prakash M Nadkarni   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study

(2009) X. Wang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION