Ranking Adverse Drug Reactions With Crowdsourcing

Integrating Systems Biology Sources Illuminates Drug Action

(2014) A Gottlieb et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

The semantic measures library and toolkit: fast computation of semantic similarity and relatedness using biomedical ontologies

(2013) S. Harispe et al.   BIOINFORMATICS

Systematic identification of proteins that elicit drug side effects

(2013) M. Kuhn et al.   Molecular Systems Biology

The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data

(2013) Sebastian Köhler et al.   NUCLEIC ACIDS RESEARCH

Drug—drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records

(2012) Shobha Phansalkar et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Data-Driven Prediction of Drug Effects and Interactions

(2012) N. P. Tatonetti et al.   Science Translational Medicine

Predicting adverse side effects of drugs

(2011) Liang-Chin Huang et al.   BMC GENOMICS

Clinical Decision Support Systems Could Be Modified To Reduce ‘Alert Fatigue’ While Still Minimizing The Risk Of Litigation

(2011) Aaron S. Kesselheim et al.   HEALTH AFFAIRS

An Algorithmic Framework for Predicting Side Effects of Drugs

(2011) Nir Atias et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

A side effect resource to capture phenotypic effects of drugs

(2010) Michael Kuhn et al.   Molecular Systems Biology

A Review of Quantitative Risk–Benefit Methodologies for Assessing Drug Safety and Efficacy—Report of the ISPOR Risk–Benefit Management Working Group

(2010) Jeff J. Guo et al.   VALUE IN HEALTH